public class KMeans extends Clusterer
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.clustering.ClusteringModel |
encodeModel(org.jpmml.converter.Schema schema) |
List<? extends Number> |
getClusterCenters() |
int[] |
getClusterCentersShape() |
List<Integer> |
getLabels() |
int |
getNumberOfFeatures() |
getMiningFunction, isSupervisedgetDataType, getOption, getOpTypeget, getArray, getArray, getArrayShape, getArrayShape, getList, getList, getScalar, getTupleListclear, clone, compute, computeIfAbsent, computeIfPresent, containsKey, containsValue, entrySet, forEach, get, getOrDefault, isEmpty, keySet, merge, put, putAll, putIfAbsent, remove, remove, replace, replace, replaceAll, size, valuesequals, hashCode, toStringpublic int getNumberOfFeatures()
getNumberOfFeatures in interface HasNumberOfFeaturesgetNumberOfFeatures in class Estimatorpublic org.dmg.pmml.clustering.ClusteringModel encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class Estimatorpublic int[] getClusterCentersShape()
Copyright © 2018. All rights reserved.