org.apache.spark.mllib.clustering

Class LocalKMeans

Object

org.apache.spark.mllib.clustering.LocalKMeans

All Implemented Interfaces:

Logging

public class LocalKMeans
extends Object
implements Logging

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

Methods

Modifier and Type	Method and Description
static VectorWithNorm[]	kMeansPlusPlus(int seed, 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

Methods inherited from interface org.apache.spark.Logging

initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Constructor Detail

LocalKMeans

public LocalKMeans()

Method Detail

kMeansPlusPlus

public static VectorWithNorm[] kMeansPlusPlus(int seed,
                              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.