A B C D E G I L M N O P R S T V W
All Classes All Packages

A

ABCFormat - Class in org.nlpub.watset.util

Utilities for handling the ABC (source, target, weight) edge list format.

alwaysFalse() - Static method in class org.nlpub.watset.util.Maximizer

A predicate that is always false.

alwaysTrue() - Static method in class org.nlpub.watset.util.Maximizer

A predicate that is always true.

Application - Class in org.nlpub.watset.cli

Watset command-line interface.

Application() - Constructor for class org.nlpub.watset.cli.Application

Create an instance of the Watset command-line interface.

Application.ParseStatus - Enum in org.nlpub.watset.cli

Status of command-line argument parsing.

apply(Map<V, Number>, Map<V, Number>) - Method in class org.nlpub.watset.util.ContextSimilarities.CosineContextSimilarity

apply(Map<V, Number>, Map<V, Number>) - Method in class org.nlpub.watset.util.ContextSimilarities.DummyContextSimilarity

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.ChineseWhispers.Builder

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.ComponentsClustering.Builder

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.EmptyClustering.Builder

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.MarkovClustering.Builder

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.MarkovClusteringExternal.Builder

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.MaxMax.Builder

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.SimplifiedWatset.Builder

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.SingletonClustering.Builder

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.TogetherClustering.Builder

apply(Graph<V, E>) - Method in class org.nlpub.watset.graph.Watset.Builder

Deprecated.

apply(Graph<V, E>) - Method in class org.nlpub.watset.util.ClusteringAlgorithmProvider

apply(Graph<V, E>, Map<V, Integer>, V, V) - Method in interface org.nlpub.watset.graph.NodeWeighting

Compute the weight of the node in the neighborhood graph.

apply(Graph<V, E>, Map<V, Integer>, V, V) - Method in class org.nlpub.watset.graph.NodeWeightings.LabelNodeWeighting

apply(Graph<V, E>, Map<V, Integer>, V, V) - Method in class org.nlpub.watset.graph.NodeWeightings.LinearNodeWeighting

apply(Graph<V, E>, Map<V, Integer>, V, V) - Method in class org.nlpub.watset.graph.NodeWeightings.LogNodeWeighting

apply(Graph<V, E>, Map<V, Integer>, V, V) - Method in class org.nlpub.watset.graph.NodeWeightings.TopNodeWeighting

argmax(Iterator<V>, Function<V, S>) - Static method in class org.nlpub.watset.util.Maximizer

Find the first argument of the maximum (argmax) of the function.

argmax(Iterator<V>, Predicate<V>, Function<V, S>) - Static method in class org.nlpub.watset.util.Maximizer

Find the first argument of the maximum (argmax) of the function.

argmaxRandom(Iterator<V>, Function<V, S>, Random) - Static method in class org.nlpub.watset.util.Maximizer

Find the arguments of the maxima (argmax) of the function and randomly choose any of them.

B

builder() - Static method in class org.nlpub.watset.graph.ChineseWhispers

Create a builder.

builder() - Static method in class org.nlpub.watset.graph.ComponentsClustering

Create a builder.

builder() - Static method in class org.nlpub.watset.graph.EmptyClustering

Create a builder.

builder() - Static method in class org.nlpub.watset.graph.MarkovClustering

Create a builder.

builder() - Static method in class org.nlpub.watset.graph.MarkovClusteringExternal

Create a builder.

builder() - Static method in class org.nlpub.watset.graph.MaxMax

Create a builder.

builder() - Static method in class org.nlpub.watset.graph.SimplifiedWatset

Create a builder.

builder() - Static method in class org.nlpub.watset.graph.SingletonClustering

Create a builder.

builder() - Static method in class org.nlpub.watset.graph.TogetherClustering

Create a builder.

builder() - Static method in class org.nlpub.watset.graph.Watset

Deprecated.

Create a builder.

Builder() - Constructor for class org.nlpub.watset.graph.ChineseWhispers.Builder

Create an instance of ChineseWhispers builder.

Builder() - Constructor for class org.nlpub.watset.graph.ComponentsClustering.Builder

Builder() - Constructor for class org.nlpub.watset.graph.EmptyClustering.Builder

Builder() - Constructor for class org.nlpub.watset.graph.MarkovClustering.Builder

Builder() - Constructor for class org.nlpub.watset.graph.MarkovClusteringExternal.Builder

Builder() - Constructor for class org.nlpub.watset.graph.MaxMax.Builder

Builder() - Constructor for class org.nlpub.watset.graph.SimplifiedWatset.Builder

Builder() - Constructor for class org.nlpub.watset.graph.SingletonClustering.Builder

Builder() - Constructor for class org.nlpub.watset.graph.TogetherClustering.Builder

Builder() - Constructor for class org.nlpub.watset.graph.Watset.Builder

Deprecated.

buildInventory() - Method in class org.nlpub.watset.graph.SimplifiedWatset.Implementation

Build a node sense inventory; fill in variables senses and inventory.

buildMatrix() - Method in class org.nlpub.watset.graph.MarkovClustering.Implementation

Construct an adjacency matrix for the given graph.

buildSenseGraph() - Method in class org.nlpub.watset.graph.SimplifiedWatset.Implementation

Build an intermediate sense-aware representation of the input graph called the node sense graph.

C

cache - Variable in class org.nlpub.watset.eval.CachedNormalizedModifiedPurity

The cache.

CachedNormalizedModifiedPurity<V> - Class in org.nlpub.watset.eval

Cached normalized modified purity evaluation measure for overlapping clustering.

CachedNormalizedModifiedPurity() - Constructor for class org.nlpub.watset.eval.CachedNormalizedModifiedPurity

Construct a cached normalized modified purity calculator.

CachedNormalizedModifiedPurity(boolean, boolean) - Constructor for class org.nlpub.watset.eval.CachedNormalizedModifiedPurity

Construct a cached normalized modified purity calculator that allows turning normalized and/or modified options off.

ChineseWhispers<V,E> - Class in org.nlpub.watset.graph

Implementation of the Chinese Whispers algorithm.

ChineseWhispers(Graph<V, E>, NodeWeighting<V, E>, int, Random) - Constructor for class org.nlpub.watset.graph.ChineseWhispers

Create an instance of the Chinese Whispers algorithm.

ChineseWhispers.Builder<V,E> - Class in org.nlpub.watset.graph

Builder for ChineseWhispers.

ChineseWhispers.Implementation<V,E> - Class in org.nlpub.watset.graph

Actual implementation of Chinese Whispers.

clustering - Variable in class org.nlpub.watset.graph.ChineseWhispers

The cached clustering result.

clustering - Variable in class org.nlpub.watset.graph.MarkovClustering

The cached clustering result.

clustering - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal

The cached clustering result.

clustering - Variable in class org.nlpub.watset.graph.SimplifiedWatset

The cached clustering result.

clustering(V) - Method in class org.nlpub.watset.graph.SenseInduction

Get the induced sense clusters.

ClusteringAlgorithmBuilder<V,E,C extends org.jgrapht.alg.interfaces.ClusteringAlgorithm<V>> - Interface in org.nlpub.watset.graph

A builder for constructing the ClusteringAlgorithm instances.

ClusteringAlgorithmProvider<V,E> - Class in org.nlpub.watset.util

A utility class that creates instances of the graph clustering algorithms.

ClusteringAlgorithmProvider(String, Map<String, String>, Random) - Constructor for class org.nlpub.watset.util.ClusteringAlgorithmProvider

Create an instance of this utility class.

combination(Collection<V>) - Static method in class org.nlpub.watset.eval.Pairwise

Return a stream of pairs generated as 2-combinations of the cluster elements.

COMMAND - org.nlpub.watset.cli.Application.ParseStatus

A command has been parsed successfully.

ComponentsClustering<V,E> - Class in org.nlpub.watset.graph

A trivial clustering algorithm that treats every connected component as a cluster.

ComponentsClustering(Graph<V, E>) - Constructor for class org.nlpub.watset.graph.ComponentsClustering

Set up the trivial clustering algorithm that treats every connected component as a cluster.

ComponentsClustering.Builder<V,E> - Class in org.nlpub.watset.graph

Builder for ComponentsClustering.

compute() - Method in class org.nlpub.watset.graph.ChineseWhispers.Implementation

Perform clustering with Chinese Whispers.

compute() - Method in class org.nlpub.watset.graph.MarkovClustering.Implementation

Perform clustering with Markov Clustering.

compute() - Method in class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

Perform clustering with Markov Clustering.

compute() - Method in class org.nlpub.watset.graph.MaxMax.Implementation

Perform clustering with MaxMax.

compute() - Method in class org.nlpub.watset.graph.SimplifiedWatset.Implementation

Perform clustering with Simplified Watset.

contexts(V) - Method in class org.nlpub.watset.graph.SenseInduction

Get the induced senses and their non-disambiguated contexts.

ContextSimilarities - Class in org.nlpub.watset.util

Useful implementations of ContextSimilarity.

ContextSimilarities.CosineContextSimilarity<V> - Class in org.nlpub.watset.util

The classical cosine similarity measure for bags-of-words.

ContextSimilarities.DummyContextSimilarity<V> - Class in org.nlpub.watset.util

A simple context similarity measure that always returns zero.

ContextSimilarity<V> - Interface in org.nlpub.watset.util

A similarity measure between two bags-of-words that maps them to a number.

cosine() - Static method in class org.nlpub.watset.util.ContextSimilarities

A static factory method providing a convenient way to create an instance of ContextSimilarities.CosineContextSimilarity.

CosineContextSimilarity() - Constructor for class org.nlpub.watset.util.ContextSimilarities.CosineContextSimilarity

D

DELIMITER - Static variable in class org.nlpub.watset.util.ILEFormat

The default delimiter, expressed by comma and space.

delta(Map<V, Double>, Map<V, Double>) - Method in class org.nlpub.watset.eval.NormalizedModifiedPurity

Compute the fuzzy overlap between two clusters, cluster and klass.

digraph - Variable in class org.nlpub.watset.graph.MaxMax.Implementation

The directed graph.

disambiguate(Map<V, Map<Sense<V>, Map<V, Number>>>, ContextSimilarity<V>, Map<V, Number>, Collection<V>) - Static method in interface org.nlpub.watset.util.Sense

Disambiguate each element of the context by maximizing its similarity to the senses in the inventory.

dummy() - Static method in class org.nlpub.watset.util.ContextSimilarities

A static factory method providing a convenient way to create an instance of ContextSimilarities.DummyContextSimilarity.

DummyContextSimilarity() - Constructor for class org.nlpub.watset.util.ContextSimilarities.DummyContextSimilarity

E

e - Variable in class org.nlpub.watset.graph.MarkovClustering

The expansion parameter.

e - Variable in class org.nlpub.watset.graph.MarkovClustering.Implementation

The expansion parameter.

E - Static variable in class org.nlpub.watset.graph.MarkovClustering.Builder

The default value of the expansion parameter.

EMPTY - org.nlpub.watset.cli.Application.ParseStatus

No command has been found.

EMPTY_BUT_VERSION - org.nlpub.watset.cli.Application.ParseStatus

No command has been found, but the version has been requested.

EmptyClustering<V> - Class in org.nlpub.watset.graph

A trivial clustering algorithm that returns no clusters.

EmptyClustering() - Constructor for class org.nlpub.watset.graph.EmptyClustering

EmptyClustering.Builder<V,E> - Class in org.nlpub.watset.graph

Builder for EmptyClustering.

evaluate(Collection<Collection<V>>, Collection<Collection<V>>) - Method in class org.nlpub.watset.eval.Pairwise

Compute a pairwise precision, recall, and F-score.

evaluate(NormalizedModifiedPurity<V>, NormalizedModifiedPurity<V>, Collection<Map<V, Double>>, Collection<Map<V, Double>>) - Static method in class org.nlpub.watset.eval.NormalizedModifiedPurity

Compute a precision and recall using purity and inverse purity, correspondingly.

expand() - Method in class org.nlpub.watset.graph.MarkovClustering.Implementation

Perform the expansion step.

extractClusters() - Method in class org.nlpub.watset.graph.MaxMax.Implementation

Extract clusters by traversing from the root nodes.

G

get() - Method in class org.nlpub.watset.util.IndexedSense

getClustering() - Method in class org.nlpub.watset.graph.ChineseWhispers

getClustering() - Method in class org.nlpub.watset.graph.ComponentsClustering

getClustering() - Method in class org.nlpub.watset.graph.EmptyClustering

getClustering() - Method in class org.nlpub.watset.graph.MarkovClustering

getClustering() - Method in class org.nlpub.watset.graph.MarkovClusteringExternal

getClustering() - Method in class org.nlpub.watset.graph.MaxMax

getClustering() - Method in class org.nlpub.watset.graph.SimplifiedWatset

getClustering() - Method in class org.nlpub.watset.graph.SingletonClustering

getClustering() - Method in class org.nlpub.watset.graph.TogetherClustering

getClustering() - Method in class org.nlpub.watset.graph.Watset

Deprecated.

getClusters() - Method in class org.nlpub.watset.eval.Measurer

Return the list of the measured number of clusters.

getContexts() - Method in interface org.nlpub.watset.graph.WatsetClustering

Get the disambiguated contexts built during SimplifiedWatset.getClustering().

getDigraph() - Method in interface org.nlpub.watset.graph.MaxMaxClustering

Return the directed graph representation of the input graph.

getDigraph() - Method in class org.nlpub.watset.graph.MaxMaxClustering.MaxMaxClusteringImpl

getDurations() - Method in class org.nlpub.watset.eval.Measurer

Return the list of the measured graph clustering durations in milliseconds.

getF1Score() - Method in class org.nlpub.watset.eval.PrecisionRecall

Compute the F₁-score using precision and recall.

getFScore(double) - Method in class org.nlpub.watset.eval.PrecisionRecall

Compute the F_β-score using precision and recall.

getGraph() - Method in class org.nlpub.watset.eval.Measurer

Return the input graph.

getIterations() - Method in class org.nlpub.watset.graph.ChineseWhispers.Implementation

Return the number of iterations specified in the constructor

getMaximals() - Method in interface org.nlpub.watset.graph.MaxMaxClustering

Return the map of nodes to their maximal affinity nodes.

getMaximals() - Method in class org.nlpub.watset.graph.MaxMaxClustering.MaxMaxClusteringImpl

getPrecision() - Method in class org.nlpub.watset.eval.PrecisionRecall

Get the value of precision.

getRecall() - Method in class org.nlpub.watset.eval.PrecisionRecall

Get the value of recall.

getRoots() - Method in interface org.nlpub.watset.graph.MaxMaxClustering

Return the map of root and non-root nodes.

getRoots() - Method in class org.nlpub.watset.graph.MaxMaxClustering.MaxMaxClusteringImpl

getSense() - Method in class org.nlpub.watset.util.IndexedSense

Get the sense identifier.

getSenseGraph() - Method in interface org.nlpub.watset.graph.WatsetClustering

Get the intermediate node sense graph built during SimplifiedWatset.getClustering().

getSteps() - Method in class org.nlpub.watset.graph.ChineseWhispers.Implementation

Return the number of iterations actually performed during ChineseWhispers.getClustering().

global - Variable in class org.nlpub.watset.graph.SimplifiedWatset

The global clustering algorithm supplier.

global - Variable in class org.nlpub.watset.graph.SimplifiedWatset.Implementation

The global clustering algorithm supplier.

graph - Variable in class org.nlpub.watset.graph.ChineseWhispers

The graph.

graph - Variable in class org.nlpub.watset.graph.ChineseWhispers.Implementation

The graph.

graph - Variable in class org.nlpub.watset.graph.MarkovClustering

The graph.

graph - Variable in class org.nlpub.watset.graph.MarkovClustering.Implementation

The graph.

graph - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal

The graph.

graph - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

The graph.

graph - Variable in class org.nlpub.watset.graph.MaxMax.Implementation

The graph.

graph - Variable in class org.nlpub.watset.graph.SenseInduction

The graph.

graph - Variable in class org.nlpub.watset.graph.SimplifiedWatset

The graph.

graph - Variable in class org.nlpub.watset.graph.SimplifiedWatset.Implementation

The graph.

graph - Variable in class org.nlpub.watset.graph.SingletonClustering

The graph.

graph - Variable in class org.nlpub.watset.graph.TogetherClustering

The graph.

graph(Graph<V, E>, V) - Static method in class org.nlpub.watset.util.Neighbors

Extract the neighborhood graph for the given node.

I

ILEFormat - Class in org.nlpub.watset.util

Utilities for handling the ILE (identifier, length, elements) file format.

Implementation(Graph<V, E>) - Constructor for class org.nlpub.watset.graph.MaxMax.Implementation

Create an instance of the MaxMax clustering algorithm implementation.

Implementation(Graph<V, E>, int, double, int) - Constructor for class org.nlpub.watset.graph.MarkovClustering.Implementation

Create an instance of the Markov Clustering algorithm implementation.

Implementation(Graph<V, E>, Path, double, int) - Constructor for class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

Create an instance of the Markov Clustering algorithm wrapper implementation.

Implementation(Graph<V, E>, NodeWeighting<V, E>, int, Random) - Constructor for class org.nlpub.watset.graph.ChineseWhispers.Implementation

Create an instance of the Chinese Whispers clustering algorithm implementation.

Implementation(Graph<V, E>, SenseInduction<V, E>, ClusteringAlgorithmBuilder<Sense<V>, DefaultWeightedEdge, ?>) - Constructor for class org.nlpub.watset.graph.SimplifiedWatset.Implementation

Create an instance of the Simplified Watset clustering algorithm implementation.

IndexedSense<V> - Class in org.nlpub.watset.util

An integer sense identifier.

IndexedSense(V, Integer) - Constructor for class org.nlpub.watset.util.IndexedSense

Create a sense of an object.

inducer - Variable in class org.nlpub.watset.graph.SimplifiedWatset.Implementation

The node sense induction approach.

inducer - Variable in class org.nlpub.watset.graph.SimplifiedWatset

The node sense induction approach.

inflate() - Method in class org.nlpub.watset.graph.MarkovClustering.Implementation

Perform the inflation step.

inflateVisitor - Variable in class org.nlpub.watset.graph.MarkovClustering.Implementation

The inflation visitor that raises each element of matrix to the power of r.

InflateVisitor(double) - Constructor for class org.nlpub.watset.graph.MarkovClustering.InflateVisitor

Create an instance of the inflator.

inspector - Variable in class org.nlpub.watset.graph.ComponentsClustering

The connectivity inspector.

inventory - Variable in class org.nlpub.watset.graph.SimplifiedWatset.Implementation

The sense inventory.

iterations - Variable in class org.nlpub.watset.graph.ChineseWhispers.Implementation

The number of iterations.

iterations - Variable in class org.nlpub.watset.graph.ChineseWhispers

The number of iterations.

iterations - Variable in class org.nlpub.watset.graph.MarkovClustering.Implementation

The maximal number of iterations.

iterations - Variable in class org.nlpub.watset.graph.MarkovClustering

The maximal number of iterations.

ITERATIONS - Static variable in class org.nlpub.watset.graph.ChineseWhispers.Builder

The default number of Chinese Whispers iterations.

ITERATIONS - Static variable in class org.nlpub.watset.graph.MarkovClustering.Builder

The default number of Markov Clustering iterations.

L

label() - Static method in class org.nlpub.watset.graph.NodeWeightings

A static factory method providing a convenient way to create an instance of NodeWeightings.LabelNodeWeighting.

LABEL - org.nlpub.watset.graph.NodeWeightings.WeightingMode

Weighting mode label.

LabelNodeWeighting() - Constructor for class org.nlpub.watset.graph.NodeWeightings.LabelNodeWeighting

labels - Variable in class org.nlpub.watset.graph.ChineseWhispers.Implementation

The mapping of nodes to labels.

LIN - org.nlpub.watset.graph.NodeWeightings.WeightingMode

Weighting mode lin.

linear() - Static method in class org.nlpub.watset.graph.NodeWeightings

A static factory method providing a convenient way to create an instance of NodeWeightings.LinearNodeWeighting.

LinearNodeWeighting() - Constructor for class org.nlpub.watset.graph.NodeWeightings.LinearNodeWeighting

load(ClassDict) - Static method in class org.nlpub.watset.util.NetworkXFormat

Reconstruct a Graph object from the unpickled NetworkX graph.

local - Variable in class org.nlpub.watset.graph.SenseInduction

The local clustering algorithm supplier.

log() - Static method in class org.nlpub.watset.graph.NodeWeightings

A static factory method providing a convenient way to create an instance of NodeWeightings.LogNodeWeighting.

LOG - org.nlpub.watset.graph.NodeWeightings.WeightingMode

Weighting mode log.

LogNodeWeighting() - Constructor for class org.nlpub.watset.graph.NodeWeightings.LogNodeWeighting

M

main(String[]) - Static method in class org.nlpub.watset.cli.Application

Watset command-line interface entry point.

mapping - Variable in class org.nlpub.watset.graph.MarkovClustering.Implementation

The mapping of graph nodes to the columns of matrix.

mapping - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

The mapping of nodes to indices.

MarkovClustering<V,E> - Class in org.nlpub.watset.graph

Naïve implementation of the Markov Clustering (MCL) algorithm.

MarkovClustering(Graph<V, E>, int, double, int) - Constructor for class org.nlpub.watset.graph.MarkovClustering

Create an instance of the Markov Clustering algorithm.

MarkovClustering.Builder<V,E> - Class in org.nlpub.watset.graph

Builder for MarkovClustering.

MarkovClustering.Implementation<V,E> - Class in org.nlpub.watset.graph

Actual implementation of Markov Clustering.

MarkovClustering.InflateVisitor - Class in org.nlpub.watset.graph

Visitor that raises each element to the power of MarkovClustering.r.

MarkovClustering.NormalizeVisitor - Class in org.nlpub.watset.graph

Visitor that normalizes columns.

MarkovClusteringExternal<V,E> - Class in org.nlpub.watset.graph

A wrapper for the official implementation of the Markov Clustering (MCL) algorithm in C.

MarkovClusteringExternal(Graph<V, E>, Path, double, int) - Constructor for class org.nlpub.watset.graph.MarkovClusteringExternal

Create an instance of the Markov Clustering algorithm wrapper.

MarkovClusteringExternal.Builder<V,E> - Class in org.nlpub.watset.graph

Builder for MarkovClusteringExternal.

MarkovClusteringExternal.Implementation<V,E> - Class in org.nlpub.watset.graph

Actual implementation of the Markov Clustering wrapper.

matrix - Variable in class org.nlpub.watset.graph.MarkovClustering.Implementation

The stochastic matrix.

maximals - Variable in class org.nlpub.watset.graph.MaxMax.Implementation

The map of nodes to their maximal affinity nodes.

Maximizer - Class in org.nlpub.watset.util

Utilities for searching arguments of the maxima of the function.

MaxMax<V,E> - Class in org.nlpub.watset.graph

Implementation of the MaxMax soft clustering algorithm.

MaxMax(Graph<V, E>) - Constructor for class org.nlpub.watset.graph.MaxMax

Create an instance of the MaxMax algorithm.

MaxMax.Builder<V,E> - Class in org.nlpub.watset.graph

Builder for MaxMax.

MaxMax.Implementation<V,E> - Class in org.nlpub.watset.graph

Actual implementation of MaxMax.

MaxMaxClustering<V> - Interface in org.nlpub.watset.graph

A MaxMax clustering.

MaxMaxClustering.MaxMaxClusteringImpl<V> - Class in org.nlpub.watset.graph

Default implementation of the MaxMax clustering.

MaxMaxClusteringImpl(List<Set<V>>, Graph<V, DefaultEdge>, Map<V, Set<V>>, Map<V, Boolean>) - Constructor for class org.nlpub.watset.graph.MaxMaxClustering.MaxMaxClusteringImpl

Construct a new MaxMax clustering.

Measurement(Duration, ClusteringAlgorithm.Clustering<V>) - Constructor for class org.nlpub.watset.eval.Measurer.Measurement

Create a performance measurement result.

Measurer<V,E> - Class in org.nlpub.watset.eval

A clustering algorithm performance measurement class.

Measurer(ClusteringAlgorithmBuilder<V, E, ?>, Graph<V, E>) - Constructor for class org.nlpub.watset.eval.Measurer

Create an instance of Measurer.

Measurer(ClusteringAlgorithmBuilder<V, E, ?>, Graph<V, E>, int, int) - Constructor for class org.nlpub.watset.eval.Measurer

Create an instance of Measurer.

Measurer.Measurement<V> - Class in org.nlpub.watset.eval

A performance measurement result.

N

Neighbors - Class in org.nlpub.watset.util

Utilities for extracting neighborhood graphs and iterating over them.

NetworkXFormat - Class in org.nlpub.watset.util

Utilities for handling pickled NetworkX graphs.

NodeWeighting<V,E> - Interface in org.nlpub.watset.graph

Node weighting for Chinese Whispers.

NodeWeightings - Class in org.nlpub.watset.graph

Useful implementations of NodeWeighting.

NodeWeightings.LabelNodeWeighting<V,E> - Class in org.nlpub.watset.graph

A trivial and not particularly useful node weighting approach that assigns the current node label as the weight.

NodeWeightings.LinearNodeWeighting<V,E> - Class in org.nlpub.watset.graph

The node weighting approach that chooses the label with the highest total edge weight in the neighborhood divided by the neighbor node degree.

NodeWeightings.LogNodeWeighting<V,E> - Class in org.nlpub.watset.graph

The node weighting approach that chooses the label with the highest total edge weight in the neighborhood divided by the logarithm of the neighbor node degree.

NodeWeightings.TopNodeWeighting<V,E> - Class in org.nlpub.watset.graph

The node weighting approach that chooses the label with the highest total edge weight in the neighborhood.

NodeWeightings.WeightingMode - Enum in org.nlpub.watset.graph

Weighting modes.

NOLOG - org.nlpub.watset.graph.NodeWeightings.WeightingMode

Deprecated.

Replaced with LIN

normalize() - Method in class org.nlpub.watset.graph.MarkovClustering.Implementation

Normalize the matrix.

normalize(Collection<Map<V, Double>>) - Static method in class org.nlpub.watset.eval.NormalizedModifiedPurity

Normalize weights of the cluster elements to allow using normalized (modified) purity.

NormalizedModifiedPurity<V> - Class in org.nlpub.watset.eval

Normalized modified purity evaluation measure for overlapping clustering.

NormalizedModifiedPurity() - Constructor for class org.nlpub.watset.eval.NormalizedModifiedPurity

Construct a normalized modified purity calculator.

NormalizedModifiedPurity(boolean, boolean) - Constructor for class org.nlpub.watset.eval.NormalizedModifiedPurity

Construct a normalized modified purity calculator that allows turning normalized and/or modified options off.

NormalizeVisitor(RealMatrix) - Constructor for class org.nlpub.watset.graph.MarkovClustering.NormalizeVisitor

Create an instance of the normalizer.

O

ones - Variable in class org.nlpub.watset.graph.MarkovClustering.Implementation

The row matrix filled by ones.

org.nlpub.watset.cli - package org.nlpub.watset.cli

Command-line interface.

org.nlpub.watset.eval - package org.nlpub.watset.eval

Clustering and performance evaluation tools.

org.nlpub.watset.graph - package org.nlpub.watset.graph

Graph processing and clustering.

org.nlpub.watset.util - package org.nlpub.watset.util

Utility classes and helpers.

output - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

The output file.

P

pairOf(V, V) - Static method in class org.nlpub.watset.eval.Pairwise

Create a pair of elements ordered by hashCode.

Pairwise<V> - Class in org.nlpub.watset.eval

Pairwise precision, recall, and F-score for cluster evaluation.

Pairwise() - Constructor for class org.nlpub.watset.eval.Pairwise

parse(InputStream) - Static method in class org.nlpub.watset.util.NetworkXFormat

Unpickle the NetworkX graph from the input stream.

parse(String) - Static method in class org.nlpub.watset.graph.NodeWeightings

Construct a node weighting instance corresponding to the given mode.

parse(String...) - Method in class org.nlpub.watset.cli.Application

Parse the command-line arguments.

parse(Stream<String>) - Static method in class org.nlpub.watset.util.ABCFormat

Parse the string stream of ABC-formatted edges.

parse(Stream<String>, String) - Static method in class org.nlpub.watset.util.ABCFormat

Parse the string stream of ABC-formatted edges.

path - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

The path to the MCL binary.

path - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal

The path to the MCL binary.

PrecisionRecall - Class in org.nlpub.watset.eval

A wrapper for precision and recall values that computes F-score.

PrecisionRecall(double, double) - Constructor for class org.nlpub.watset.eval.PrecisionRecall

Wrap the precision and recall values.

process() - Method in class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

Run the Markov Clustering binary and read its output.

purity(Collection<Map<V, Double>>, Collection<Map<V, Double>>) - Method in class org.nlpub.watset.eval.NormalizedModifiedPurity

Computes the (modified) purity of the given clusters as according to the gold standard clustering, classes.

R

r - Variable in class org.nlpub.watset.graph.MarkovClustering

The inflation parameter.

r - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

The inflation parameter.

r - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal

The inflation parameter.

R - Static variable in class org.nlpub.watset.graph.MarkovClustering.Builder

The default value of the inflation parameter.

R - Static variable in class org.nlpub.watset.graph.MarkovClusteringExternal.Builder

The default value of the inflation parameter.

random - Variable in class org.nlpub.watset.graph.ChineseWhispers.Implementation

The random number generator.

random - Variable in class org.nlpub.watset.graph.ChineseWhispers

The random number generator.

REPETITIONS - Static variable in class org.nlpub.watset.eval.Measurer

The default number of repetitions.

roots - Variable in class org.nlpub.watset.graph.MaxMax.Implementation

The map of root and non-root nodes.

run() - Method in class org.nlpub.watset.cli.Application

Run the parsed command.

run() - Method in class org.nlpub.watset.eval.Measurer

Perform the measurement.

run(String) - Method in class org.nlpub.watset.cli.Application

Run the specified command.

S

sample(T[], Random) - Static method in interface org.nlpub.watset.eval.Sampling

Creates a bootstrapped dataset using sampling with replacement from the given dataset.

Sampling - Interface in org.nlpub.watset.eval

Utilities for statistical evaluation of computational experiments.

score(Map<V, Double>, Collection<Map<V, Double>>) - Method in class org.nlpub.watset.eval.CachedNormalizedModifiedPurity

score(Map<V, Double>, Collection<Map<V, Double>>) - Method in class org.nlpub.watset.eval.NormalizedModifiedPurity

Compute the (modified) cluster score on a defined collection of classes.

score(V) - Method in class org.nlpub.watset.graph.ChineseWhispers.Implementation

Score the label weights in the given neighborhood graph, which is a subgraph of ChineseWhispers.Implementation.graph.

Sense<V> - Interface in org.nlpub.watset.util

A monad that provides the wrapped value with a sense identifier.

SenseInduction<V,E> - Class in org.nlpub.watset.graph

A simple graph-based word sense induction approach that clusters node neighborhoods.

SenseInduction(Graph<V, E>, ClusteringAlgorithmBuilder<V, E, ?>) - Constructor for class org.nlpub.watset.graph.SenseInduction

Create an instance of SenseInduction.

senses - Variable in class org.nlpub.watset.graph.SimplifiedWatset.Implementation

The sense mapping.

SEPARATOR - Static variable in class org.nlpub.watset.util.ABCFormat

The default separator, expressed by the tab symbol.

SEPARATOR - Static variable in class org.nlpub.watset.util.ILEFormat

The default separator, expressed by the tab symbol.

setE(int) - Method in class org.nlpub.watset.graph.MarkovClustering.Builder

Set the expansion parameter.

setGlobal(ClusteringAlgorithmBuilder<Sense<V>, DefaultWeightedEdge, ?>) - Method in class org.nlpub.watset.graph.SimplifiedWatset.Builder

Set the global clustering algorithm supplier.

setGlobal(ClusteringAlgorithmBuilder<Sense<V>, DefaultWeightedEdge, ?>) - Method in class org.nlpub.watset.graph.Watset.Builder

Deprecated.

Set the global clustering algorithm builder.

setIterations(int) - Method in class org.nlpub.watset.graph.ChineseWhispers.Builder

Set the maximal number of iterations.

setIterations(int) - Method in class org.nlpub.watset.graph.MarkovClustering.Builder

Set the maximal number of iterations.

setLocal(ClusteringAlgorithmBuilder<V, E, ?>) - Method in class org.nlpub.watset.graph.SimplifiedWatset.Builder

Set the local clustering algorithm supplier.

setLocal(ClusteringAlgorithmBuilder<V, E, ?>) - Method in class org.nlpub.watset.graph.Watset.Builder

Deprecated.

Set the local clustering algorithm builder.

setPath(Path) - Method in class org.nlpub.watset.graph.MarkovClusteringExternal.Builder

Set the path to the MCL binary.

setR(double) - Method in class org.nlpub.watset.graph.MarkovClustering.Builder

Set the inflation parameter.

setR(double) - Method in class org.nlpub.watset.graph.MarkovClusteringExternal.Builder

Set the inflation parameter.

setRandom(Random) - Method in class org.nlpub.watset.graph.ChineseWhispers.Builder

Set the random number generator.

setSimilarity(ContextSimilarity<V>) - Method in class org.nlpub.watset.graph.Watset.Builder

Deprecated.

Set the context similarity measure.

setThreads(int) - Method in class org.nlpub.watset.graph.MarkovClusteringExternal.Builder

Set the number of threads.

setWeighting(NodeWeighting<V, E>) - Method in class org.nlpub.watset.graph.ChineseWhispers.Builder

Set the the node weighting approach.

SimplifiedWatset<V,E> - Class in org.nlpub.watset.graph

A faster and simplified version of Watset that does not need a context similarity measure.

SimplifiedWatset(Graph<V, E>, ClusteringAlgorithmBuilder<V, E, ?>, ClusteringAlgorithmBuilder<Sense<V>, DefaultWeightedEdge, ?>) - Constructor for class org.nlpub.watset.graph.SimplifiedWatset

Create an instance of the Simplified Watset clustering algorithm.

SimplifiedWatset.Builder<V,E> - Class in org.nlpub.watset.graph

Builder for SimplifiedWatset.

SimplifiedWatset.Implementation<V,E> - Class in org.nlpub.watset.graph

Actual implementation of Simplified Watset.

SingletonClustering<V,E> - Class in org.nlpub.watset.graph

A trivial clustering algorithm that puts every node in a separate cluster.

SingletonClustering(Graph<V, E>) - Constructor for class org.nlpub.watset.graph.SingletonClustering

Set up the trivial clustering algorithm that puts every node in a separate cluster.

SingletonClustering.Builder<V,E> - Class in org.nlpub.watset.graph

Builder for SingletonClustering.

step(List<V>) - Method in class org.nlpub.watset.graph.ChineseWhispers.Implementation

Perform one iteration of the algorithm.

steps - Variable in class org.nlpub.watset.graph.ChineseWhispers.Implementation

The number of actual algorithm iterations.

T

threads - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

The number of threads.

threads - Variable in class org.nlpub.watset.graph.MarkovClusteringExternal

The number of threads.

THREADS - Static variable in class org.nlpub.watset.graph.MarkovClusteringExternal.Builder

The default number of threads.

TogetherClustering<V,E> - Class in org.nlpub.watset.graph

A trivial clustering algorithm that puts every node together in a single large cluster.

TogetherClustering(Graph<V, E>) - Constructor for class org.nlpub.watset.graph.TogetherClustering

Set up the trivial clustering algorithm that puts every node together in a single large cluster.

TogetherClustering.Builder<V,E> - Class in org.nlpub.watset.graph

Builder for TogetherClustering.

top() - Static method in class org.nlpub.watset.graph.NodeWeightings

A static factory method providing a convenient way to create an instance of NodeWeightings.TopNodeWeighting.

TOP - org.nlpub.watset.graph.NodeWeightings.WeightingMode

Weighting mode top.

TopNodeWeighting() - Constructor for class org.nlpub.watset.graph.NodeWeightings.TopNodeWeighting

toString() - Method in class org.nlpub.watset.util.IndexedSense

transform(Collection<Collection<V>>) - Static method in class org.nlpub.watset.eval.NormalizedModifiedPurity

Transform a collection of clusters into a collection of weighted cluster elements.

transform(Collection<Collection<V>>) - Static method in class org.nlpub.watset.eval.Pairwise

Transform a collection of clusters to a collection of pairs generated using 2-combinations of the cluster elements.

transform(Map<V, Number>) - Static method in class org.nlpub.watset.util.Vectors

Transform the bag-of-words into a real-valued vector.

transform(Map<V, Number>, Collection<V>) - Static method in class org.nlpub.watset.util.Vectors

Transform the bag-of-words into a real-valued vector.

V

valueOf(String) - Static method in enum org.nlpub.watset.cli.Application.ParseStatus

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.nlpub.watset.graph.NodeWeightings.WeightingMode

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.nlpub.watset.cli.Application.ParseStatus

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.nlpub.watset.graph.NodeWeightings.WeightingMode

Returns an array containing the constants of this enum type, in the order they are declared.

Vectors - Class in org.nlpub.watset.util

Utilities for mapping bags-of-words to real-valued vectors.

visit(int, int, double) - Method in class org.nlpub.watset.graph.MarkovClustering.InflateVisitor

Raise the value of a single element to the power of r.

visit(int, int, double) - Method in class org.nlpub.watset.graph.MarkovClustering.NormalizeVisitor

Divide the value of a single element by the corresponding column of sums.

W

WARMUP - Static variable in class org.nlpub.watset.eval.Measurer

The default number of warmup runs kept off-record before Measurer.REPETITIONS.

Watset<V,E> - Class in org.nlpub.watset.graph

Deprecated.

Replaced with SimplifiedWatset

Watset(Graph<V, E>, ClusteringAlgorithmBuilder<V, E, ?>, ClusteringAlgorithmBuilder<Sense<V>, DefaultWeightedEdge, ?>, ContextSimilarity<V>) - Constructor for class org.nlpub.watset.graph.Watset

Deprecated.

Create an instance of the Watset clustering algorithm.

Watset.Builder<V,E> - Class in org.nlpub.watset.graph

Deprecated.

Builder for Watset.

WatsetClustering<V> - Interface in org.nlpub.watset.graph

A Watset clustering.

weighting - Variable in class org.nlpub.watset.graph.ChineseWhispers.Implementation

The node weighting approach.

weighting - Variable in class org.nlpub.watset.graph.ChineseWhispers

The node weighting approach.

write(BufferedWriter, ClusteringAlgorithm.Clustering<String>) - Static method in class org.nlpub.watset.util.ILEFormat

Write the ILE-formatted file representing the clusters.

writeInputFile() - Method in class org.nlpub.watset.graph.MarkovClusteringExternal.Implementation

Write the input file for the Markov Clustering binary.

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