Package dev.brachtendorf.jimagehash.datastructures

Class KMeans

java.lang.Object

dev.brachtendorf.jimagehash.datastructures.KMeans

Direct Known Subclasses:

KMeansPlusPlus

public class KMeans
extends Object

Author:

Kilian

Field Summary

Fields

Modifier and Type	Field	Description
protected int	k	The number of cluster the data will be partitioned into

Constructor Summary

Constructors

Constructor	Description
KMeans(int clusters)	Create a KMeans clusterer

Method Summary

Modifier and Type	Method	Description
ClusterResult	cluster(Hash[] hashes)
ClusterResult	cluster(Hash[] hashes, int maxIter)
protected void	computeKMeans(int[] cluster, FuzzyHash[] clusterMeans, Hash[] hashes, int maxIter)
protected FuzzyHash[]	computeStartingClusters(Hash[] hashes)

Methods inherited from class java.lang.Object

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

Field Detail

k

protected int k

The number of cluster the data will be partitioned into

Constructor Detail

KMeans

public KMeans(int clusters)

Create a KMeans clusterer

Parameters:

clusters - the number of cluster to partition the data into

Method Detail

cluster

public ClusterResult cluster(Hash[] hashes)

cluster

public ClusterResult cluster(Hash[] hashes,
                             int maxIter)

computeStartingClusters

protected FuzzyHash[] computeStartingClusters(Hash[] hashes)

computeKMeans

protected void computeKMeans(int[] cluster,
                             FuzzyHash[] clusterMeans,
                             Hash[] hashes,
                             int maxIter)