edu.umd.cloud9.example.clustering
Class KMeans

java.lang.Object
  edu.umd.cloud9.example.clustering.KMeans

public class KMeans
extends Object

Constructor Summary

KMeans()

Method Summary

static void	dumpClusters(List<Point>[] clusters)
static List<Point>[]	run(Point[] points, int k) Performs a k-means on the point set to compute k clusters.

Methods inherited from class java.lang.Object

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

Constructor Detail

KMeans

public KMeans()

Method Detail

run

public static List<Point>[] run(Point[] points,
                                int k)

Performs a k-means on the point set to compute k clusters.

Parameters:

points - point set

k - number of clusters

Returns:

clusters

dumpClusters

public static void dumpClusters(List<Point>[] clusters)