org.apache.spark.mllib.clustering

Class LocalKMeans

Object

org.apache.spark.mllib.clustering.LocalKMeans

public class LocalKMeans
extends Object

An utility object to run K-means locally. This is private to the ML package because it's used in the initialization of KMeans but not meant to be publicly exposed.

Constructor Summary

Constructors

Constructor and Description
LocalKMeans()

Method Summary

Modifier and Type	Method and Description
static org.apache.spark.mllib.clustering.VectorWithNorm[]	kMeansPlusPlus(int seed, org.apache.spark.mllib.clustering.VectorWithNorm[] points, double[] weights, int k, int maxIterations) Run K-means++ on the weighted point set points.

Methods inherited from class Object

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

Constructor Detail

LocalKMeans

public LocalKMeans()

Method Detail

kMeansPlusPlus

public static org.apache.spark.mllib.clustering.VectorWithNorm[] kMeansPlusPlus(int seed,
                                                                                org.apache.spark.mllib.clustering.VectorWithNorm[] points,
                                                                                double[] weights,
                                                                                int k,
                                                                                int maxIterations)

Run K-means++ on the weighted point set points. This first does the K-means++ initialization procedure and then rounds of Lloyd's algorithm.

Parameters:

seed - (undocumented)

points - (undocumented)

weights - (undocumented)

k - (undocumented)

maxIterations - (undocumented)

Returns:

(undocumented)