Package com.imsl.test.example.stat

Class ClusterKMeansEx2

java.lang.Object

com.imsl.test.example.stat.ClusterKMeansEx2

public class ClusterKMeansEx2
extends Object

Performs K-Means++ clustering on Fisher's iris data.

This example performs K-means cluster analysis on Fisher's iris data. The initial cluster seeds are generated using the K-means++ algorithm.

See Also:

• Code
• Output

Constructor Summary

Constructors

Constructor	Description
ClusterKMeansEx2()

Method Summary

Modifier and Type	Method	Description
static void	main(String[] argv)

Methods inherited from class java.lang.Object

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

Constructor Details

ClusterKMeansEx2

public ClusterKMeansEx2()

Method Details

main

public static void main(String[] argv)
                 throws Exception

Throws:

Exception