org.openimaj.ml.clustering.random

Class RandomClusterer

java.lang.Object

org.openimaj.ml.clustering.random.RandomClusterer

All Implemented Interfaces:

Clusterer<SparseMatrix>, DataClusterer<SparseMatrix,IndexClusters>, SparseMatrixClusterer<IndexClusters>

public class RandomClusterer
extends Object
implements SparseMatrixClusterer<IndexClusters>

Given a similarity or distance matrix, this clusterer randomly selects a number of clusters and randomly assigned each row to each cluster. The number of clusters is a random number from 0 to SparseMatrix.rowCount()

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
RandomClusterer() unseeded random
RandomClusterer(int nclusters) seeded random
RandomClusterer(int nclusters, long seed) seeded random
RandomClusterer(long seed) seeded random

Method Summary

Modifier and Type	Method and Description
IndexClusters	cluster(SparseMatrix data)
int[][]	performClustering(SparseMatrix data)

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomClusterer

public RandomClusterer()

unseeded random

RandomClusterer

public RandomClusterer(long seed)

seeded random

Parameters:

seed -

RandomClusterer

public RandomClusterer(int nclusters)

seeded random

Parameters:

nclusters -

RandomClusterer

public RandomClusterer(int nclusters,
                       long seed)

seeded random

Parameters:

nclusters -

seed - random seed

Method Detail

cluster

public IndexClusters cluster(SparseMatrix data)

Specified by:

cluster in interface DataClusterer<SparseMatrix,IndexClusters>

Parameters:

data - the data to be clustered

Returns:

the clusters produced

performClustering

public int[][] performClustering(SparseMatrix data)

Specified by:

performClustering in interface Clusterer<SparseMatrix>

Returns:

Given data items, cluster them by index