net.semanticmetadata.lire.classifiers

类 ParallelKMeans

java.lang.Object

net.semanticmetadata.lire.classifiers.KMeans

net.semanticmetadata.lire.classifiers.ParallelKMeans

public class ParallelKMeans
extends KMeans

Created by Mathias on 12/10/11.

作者:

Mathias Lux, mathias@juggle.at, Nektarios Anagnostopoulos, nek.anag@gmail.com, Lazaros Tsochatzidis, ltsochat@ee.duth.gr

字段概要

从类继承的字段 net.semanticmetadata.lire.classifiers.KMeans

clusters, countAllFeatures, features, length, numClusters

构造器概要

构造器

构造器和说明
ParallelKMeans(int numClusters)

方法概要

限定符和类型	方法和说明
protected double	overallStress() Squared error in classification.
protected void	recomputeMeans() Computes the mean per cluster (averaged vector)
protected void	reOrganizeFeatures() Re-shuffle all features.

从类继承的方法 net.semanticmetadata.lire.classifiers.KMeans

addFeature, clusteringStep, getClusters, getFeatureCount, getNumClusters, hasNaNs, init, selectInitialMedians

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

构造器详细资料

ParallelKMeans

public ParallelKMeans(int numClusters)

方法详细资料

reOrganizeFeatures

protected void reOrganizeFeatures()

Re-shuffle all features.

覆盖:

reOrganizeFeatures 在类中 KMeans

recomputeMeans

protected void recomputeMeans()

从类复制的说明: KMeans

Computes the mean per cluster (averaged vector)

覆盖:

recomputeMeans 在类中 KMeans

overallStress

protected double overallStress()

从类复制的说明: KMeans

Squared error in classification.

覆盖:

overallStress 在类中 KMeans

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