weka.clusterers

Class PreconstructedKMeans

java.lang.Object

weka.clusterers.AbstractClusterer

weka.clusterers.RandomizableClusterer

weka.clusterers.SimpleKMeans

weka.clusterers.PreconstructedKMeans

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.clusterers.Clusterer, weka.clusterers.NumberOfClustersRequestable, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, Preconstructed, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler, weka.core.WeightedInstancesHandler

@KFIgnore
 @GPCIgnore
public class PreconstructedKMeans
extends weka.clusterers.SimpleKMeans
implements Preconstructed

A "preconstructed" version of SimpleKMeans that has it's cluster centroids and cluster statistics supplied by an external client.

Version:

$Revision: 11376 $

Author:

Mark Hall (mhall{[at]}pentaho{[dot]}com)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.clusterers.SimpleKMeans

CANOPY, FARTHEST_FIRST, KMEANS_PLUS_PLUS, RANDOM, TAGS_SELECTION

Constructor Summary

Constructors

Constructor and Description
PreconstructedKMeans()

Method Summary

Modifier and Type	Method and Description
void	buildClusterer(weka.core.Instances data)
int	clusterProcessedInstance(weka.filters.Filter preprocess, weka.core.Instance inst, boolean updateDistanceFunction, long[] instanceCanopies)
double[]	getErrorsForClusters()
boolean	isConstructed() Returns true if this Preconstructed instance is initialized and ready to be used
void	resetPreconstructed() Reset.
void	setClusterCentroids(weka.core.Instances centers)
void	setClusterStats(java.util.List<weka.core.Instances> summaryStatsForCentroids)
void	setFinalNumberOfIterations(int numIts)
void	setInitialStartingPoints(weka.core.Instances starting)
void	setWithinClustersSumOfErrors(double[] clusterErrors)

Methods inherited from class weka.clusterers.SimpleKMeans

canopyMaxNumCanopiesToHoldInMemoryTipText, canopyMinimumCanopyDensityTipText, canopyPeriodicPruningRateTipText, canopyT1TipText, canopyT2TipText, clusterInstance, displayStdDevsTipText, distanceFunctionTipText, dontReplaceMissingValuesTipText, fastDistanceCalcTipText, getAssignments, getCanopyMaxNumCanopiesToHoldInMemory, getCanopyMinimumCanopyDensity, getCanopyPeriodicPruningRate, getCanopyT1, getCanopyT2, getCapabilities, getClusterCentroids, getClusterNominalCounts, getClusterSizes, getClusterStandardDevs, getDisplayStdDevs, getDistanceFunction, getDontReplaceMissingValues, getFastDistanceCalc, getInitializationMethod, getMaxIterations, getNumClusters, getNumExecutionSlots, getOptions, getPreserveInstancesOrder, getReduceNumberOfDistanceCalcsViaCanopies, getRevision, getSquaredError, getTechnicalInformation, globalInfo, initializationMethodTipText, listOptions, main, maxIterationsTipText, numberOfClusters, numClustersTipText, numExecutionSlotsTipText, preserveInstancesOrderTipText, reduceNumberOfDistanceCalcsViaCanopiesTipText, setCanopyMaxNumCanopiesToHoldInMemory, setCanopyMinimumCanopyDensity, setCanopyPeriodicPruningRate, setCanopyT1, setCanopyT2, setDisplayStdDevs, setDistanceFunction, setDontReplaceMissingValues, setFastDistanceCalc, setInitializationMethod, setMaxIterations, setNumClusters, setNumExecutionSlots, setOptions, setPreserveInstancesOrder, setReduceNumberOfDistanceCalcsViaCanopies, toString

Methods inherited from class weka.clusterers.RandomizableClusterer

getSeed, seedTipText, setSeed

Methods inherited from class weka.clusterers.AbstractClusterer

debugTipText, distributionForInstance, doNotCheckCapabilitiesTipText, forName, getDebug, getDoNotCheckCapabilities, makeCopies, makeCopy, postExecution, preExecution, run, runClusterer, setDebug, setDoNotCheckCapabilities

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

PreconstructedKMeans

public PreconstructedKMeans()

Method Detail

setClusterCentroids

public void setClusterCentroids(weka.core.Instances centers)

setInitialStartingPoints

public void setInitialStartingPoints(weka.core.Instances starting)

setFinalNumberOfIterations

public void setFinalNumberOfIterations(int numIts)

setWithinClustersSumOfErrors

public void setWithinClustersSumOfErrors(double[] clusterErrors)

setClusterStats

public void setClusterStats(java.util.List<weka.core.Instances> summaryStatsForCentroids)
                     throws java.lang.Exception

Throws:

java.lang.Exception

clusterProcessedInstance

public int clusterProcessedInstance(weka.filters.Filter preprocess,
                                    weka.core.Instance inst,
                                    boolean updateDistanceFunction,
                                    long[] instanceCanopies)
                             throws java.lang.Exception

Throws:

java.lang.Exception

getErrorsForClusters

public double[] getErrorsForClusters()

buildClusterer

public void buildClusterer(weka.core.Instances data)
                    throws java.lang.Exception

Specified by:

buildClusterer in interface weka.clusterers.Clusterer

Overrides:

buildClusterer in class weka.clusterers.SimpleKMeans

Throws:

java.lang.Exception

isConstructed

public boolean isConstructed()

Description copied from interface: Preconstructed

Returns true if this Preconstructed instance is initialized and ready to be used

Specified by:

isConstructed in interface Preconstructed

Returns:

true if this instance is initialized and ready to be used

resetPreconstructed

public void resetPreconstructed()

Description copied from interface: Preconstructed

Reset. After calling reset() a call to isConstructed() should return false.

Specified by:

resetPreconstructed in interface Preconstructed