Class KMean

java.lang.Object

jwat.workloadAnalysis.clustering.kMean.KMean

All Implemented Interfaces:

JWATConstants, Clustering

public class KMean
extends Object
implements Clustering, JWATConstants

K-means clustering algorithm of JWAT: partitions the observations into k clusters around their centroids.

Field Summary

Fields inherited from interface JWATConstants

BUTTONSIZE, DATE, defaultFormat, EXAMPLE_PATH, FITTING_EXPO_PANEL, FITTING_INPUT_PANEL, FITTING_PARETO_PANEL, FUZZYK, HTML_FONT_SMALL, HTML_FONT_TIT_END_NO_CAPO, INPUT_MSG_ABORT, INPUT_MSG_ABORT_WRONG_FORMAT, INPUT_MSG_FAIL, KMEANS, LOG_FILE_NAME, NUMERIC, STRING, TRAFFIC_EPOCH_PANEL, TRAFFIC_GRAPH_PANEL, TRAFFIC_GRAPHARRIVAL_PANEL, TRAFFIC_INPUT_PANEL, TRAFFIC_TEXTUAL_PANEL, WORKLOAD_BIVARIATE_PANEL, WORKLOAD_CLUSTERING_PANEL, WORKLOAD_INFOCLUSTERING_PANEL, WORKLOAD_INPUT_PANEL

Constructor Summary

Constructors

Constructor	Description
KMean(int numClust, int[] varSel)
KMean(ClusteringInfosKMean[] res, int[] varSel, short[][] clustAssign)

Method Summary

Modifier and Type	Method	Description
void	calcClusteringInfo(int numCluster, KMeanClusteringEngine.TempClusterStatistics[][] sum, short[] cAss, MatrixObservations m)
short[][]	getAsseg()
ClusteringInfos	getClusteringInfos(int numCluster)
int	getClusteringType()
String	getName()
int	getNumCluster()
ClusteringInfosKMean[]	getResults()
int[]	getVarClust()
void	setRatio(int endClust)

Methods inherited from class Object

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

Constructor Details

KMean

public KMean(int numClust,
 int[] varSel)

KMean

public KMean(ClusteringInfosKMean[] res,
 int[] varSel,
 short[][] clustAssign)

Method Details

getName

public String getName()

Specified by:

getName in interface Clustering

getNumCluster

public int getNumCluster()

Specified by:

getNumCluster in interface Clustering

getClusteringInfos

public ClusteringInfos getClusteringInfos(int numCluster)

Specified by:

getClusteringInfos in interface Clustering

calcClusteringInfo

public void calcClusteringInfo(int numCluster,
 KMeanClusteringEngine.TempClusterStatistics[][] sum,
 short[] cAss,
 MatrixObservations m)

setRatio

public void setRatio(int endClust)

getClusteringType

public int getClusteringType()

Specified by:

getClusteringType in interface Clustering

getAsseg

public short[][] getAsseg()

getVarClust

public int[] getVarClust()

Specified by:

getVarClust in interface Clustering

getResults

public ClusteringInfosKMean[] getResults()