org.openimaj.ml.clustering.kmeans

Class LongKMeansInit.RANDOM

java.lang.Object

org.openimaj.ml.clustering.kmeans.LongKMeansInit

org.openimaj.ml.clustering.kmeans.LongKMeansInit.RANDOM

Enclosing class:

LongKMeansInit

public static class LongKMeansInit.RANDOM
extends LongKMeansInit

Simple kmeans initialized on randomly selected samples.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk), Sina Samangooei (ss@ecs.soton.ac.uk)

Nested Class Summary

Nested classes/interfaces inherited from class org.openimaj.ml.clustering.kmeans.LongKMeansInit

LongKMeansInit.RANDOM

Constructor Summary

Constructors

Constructor and Description
RANDOM()

Method Summary

Modifier and Type	Method and Description
void	initKMeans(DataSource<long[]> bds, long[][] clusters) Initialise the centroids based on the given data.

Methods inherited from class java.lang.Object

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

Constructor Detail

RANDOM

public RANDOM()

Method Detail

initKMeans

public void initKMeans(DataSource<long[]> bds,
                       long[][] clusters)
                throws IOException

Description copied from class: LongKMeansInit

Initialise the centroids based on the given data.

Specified by:

initKMeans in class LongKMeansInit

Parameters:

bds - the data source of samples

clusters - the clusters to init

Throws:

IOException - problem reading samples