Uses of Interface
org.nlpub.watset.graph.Clustering

Packages that use Clustering

Package	Description
org.nlpub.watset.cli	Command-line interface.
org.nlpub.watset.eval	Clustering and performance evaluation tools.
org.nlpub.watset.graph	Graph processing and clustering.
org.nlpub.watset.util	Utility classes and helpers.

Uses of Clustering in org.nlpub.watset.cli

Methods in org.nlpub.watset.cli that return Clustering

Modifier and Type	Method	Description
Clustering<String>	MarkovClusteringOfficialCommand.getClustering()

Uses of Clustering in org.nlpub.watset.eval

Constructor parameters in org.nlpub.watset.eval with type arguments of type Clustering

Constructor	Description
Measurer(Function<org.jgrapht.Graph<V,E>,Clustering<V>> provider, org.jgrapht.Graph<V,E> graph)	Create an instance of Measurer.
Measurer(Function<org.jgrapht.Graph<V,E>,Clustering<V>> provider, org.jgrapht.Graph<V,E> graph, int repetitions, int warmup)	Create an instance of Measurer.

Uses of Clustering in org.nlpub.watset.graph

Classes in org.nlpub.watset.graph that implement Clustering

Modifier and Type	Class	Description
class	ChineseWhispers<V,E>	Implementation of the Chinese Whispers algorithm.
class	ComponentsClustering<V,E>	A trivial clustering algorithm that treats every connected component as a cluster.
class	EmptyClustering<V>	A trivial clustering algorithm that returns no clusters.
class	MarkovClustering<V,E>	Naïve implementation of the Markov Clustering (MCL) algorithm.
class	MarkovClusteringOfficial<V,E>	A wrapper for the official implementation of the Markov Clustering (MCL) algorithm in C.
class	MaxMax<V,E>	Implementation of the MaxMax soft clustering algorithm.
class	SimplifiedWatset<V,E>	A faster and simplified version of Watset that does not need a context similarity measure.
class	SingletonClustering<V,E>	A trivial clustering algorithm that puts every node in a separate cluster.
class	TogetherClustering<V,E>	A trivial clustering algorithm that puts every node together in a single large cluster.
class	Watset<V,E>	Deprecated. use SimplifiedWatset instead.

Methods in org.nlpub.watset.graph that return types with arguments of type Clustering

Modifier and Type	Method	Description
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	ChineseWhispers.provider(NodeWeighting<V,E> weighting)	A factory function that sets up the algorithm for the given graph.
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	ChineseWhispers.provider(NodeWeighting<V,E> weighting, int iterations, Random random)	A factory function that sets up the algorithm for the given graph.
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	EmptyClustering.provider()	A factory function that sets up the algorithm for the given graph.
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	MarkovClustering.provider(int e, double r)	A factory function that sets up the algorithm for the given graph.
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	MarkovClusteringOfficial.provider(Path mcl, double r)	A factory function that sets up the algorithm for the given graph.
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	MarkovClusteringOfficial.provider(Path mcl, double r, int threads)	A factory function that sets up the algorithm for the given graph.
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	MaxMax.provider()	A factory function that sets up the algorithm for the given graph.
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	SimplifiedWatset.provider(Function<org.jgrapht.Graph<V,E>,Clustering<V>> local, Function<org.jgrapht.Graph<Sense<V>,org.jgrapht.graph.DefaultWeightedEdge>,Clustering<Sense<V>>> global)	A factory function that sets up the algorithm for the given graph.
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	Watset.provider(Function<org.jgrapht.Graph<V,E>,Clustering<V>> local, Function<org.jgrapht.Graph<Sense<V>,org.jgrapht.graph.DefaultWeightedEdge>,Clustering<Sense<V>>> global)	Deprecated. A factory function that sets up the algorithm for the given graph.

Method parameters in org.nlpub.watset.graph with type arguments of type Clustering

Modifier and Type	Method	Description
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	SimplifiedWatset.provider(Function<org.jgrapht.Graph<V,E>,Clustering<V>> local, Function<org.jgrapht.Graph<Sense<V>,org.jgrapht.graph.DefaultWeightedEdge>,Clustering<Sense<V>>> global)	A factory function that sets up the algorithm for the given graph.
static <V,E> Function<org.jgrapht.Graph<V,E>,Clustering<V>>	Watset.provider(Function<org.jgrapht.Graph<V,E>,Clustering<V>> local, Function<org.jgrapht.Graph<Sense<V>,org.jgrapht.graph.DefaultWeightedEdge>,Clustering<Sense<V>>> global)	Deprecated. A factory function that sets up the algorithm for the given graph.

Constructor parameters in org.nlpub.watset.graph with type arguments of type Clustering

Constructor	Description
SenseInduction(org.jgrapht.Graph<V,E> graph, Function<org.jgrapht.Graph<V,E>,Clustering<V>> local)	Create an instance of SenseInduction.
SimplifiedWatset(org.jgrapht.Graph<V,E> graph, Function<org.jgrapht.Graph<V,E>,Clustering<V>> local, Function<org.jgrapht.Graph<Sense<V>,org.jgrapht.graph.DefaultWeightedEdge>,Clustering<Sense<V>>> global)	Create an instance of the Simplified Watset clustering algorithm.
Watset(org.jgrapht.Graph<V,E> graph, Function<org.jgrapht.Graph<V,E>,Clustering<V>> local, Function<org.jgrapht.Graph<Sense<V>,org.jgrapht.graph.DefaultWeightedEdge>,Clustering<Sense<V>>> global, ContextSimilarity<V> similarity)	Deprecated. Create an instance of the Watset clustering algorithm.

Uses of Clustering in org.nlpub.watset.util

Methods in org.nlpub.watset.util that return Clustering

Modifier and Type	Method	Description
Clustering<V>	AlgorithmProvider.apply(org.jgrapht.Graph<V,E> graph)

Methods in org.nlpub.watset.util with parameters of type Clustering

Modifier and Type	Method	Description
static void	ILEFormat.write(BufferedWriter writer, Clustering<String> clustering)	Write the ILE-formatted file representing the clusters.