org.apache.mahout.clustering.fuzzykmeans

Class SoftCluster

java.lang.Object

org.apache.mahout.clustering.AbstractCluster

org.apache.mahout.clustering.iterator.DistanceMeasureCluster

org.apache.mahout.clustering.kmeans.Kluster

org.apache.mahout.clustering.fuzzykmeans.SoftCluster

All Implemented Interfaces:

org.apache.hadoop.io.Writable, Cluster, Model<VectorWritable>, Parametered

public class SoftCluster
extends Kluster

Nested Class Summary

Nested classes/interfaces inherited from interface org.apache.mahout.common.parameters.Parametered

Parametered.ParameteredGeneralizations

Field Summary

Fields inherited from interface org.apache.mahout.clustering.Cluster

CLUSTERS_DIR, FINAL_ITERATION_SUFFIX, INITIAL_CLUSTERS_DIR

Fields inherited from interface org.apache.mahout.common.parameters.Parametered

log

Constructor Summary

Constructors

Constructor and Description
SoftCluster()
SoftCluster(Vector center, int clusterId, DistanceMeasure measure) Construct a new SoftCluster with the given point as its center

Method Summary

Modifier and Type	Method and Description
String	asFormatString()
String	getIdentifier()
double	pdf(VectorWritable vw) Return the probability that the observation is described by this model

Methods inherited from class org.apache.mahout.clustering.kmeans.Kluster

calculateConvergence, computeConvergence, formatCluster, isConverged, readFields, setConverged, toString, write

Methods inherited from class org.apache.mahout.clustering.iterator.DistanceMeasureCluster

configure, getMeasure, sampleFromPosterior, setMeasure

Methods inherited from class org.apache.mahout.clustering.AbstractCluster

asFormatString, asJson, computeCentroid, computeParameters, createParameters, formatVector, formatVectorAsJson, getCenter, getId, getNumObservations, getParameters, getRadius, getS0, getS1, getS2, getTotalObservations, observe, observe, observe, observe, observe, setCenter, setId, setNumObservations, setRadius, setS0, setS1, setS2, setTotalObservations

Methods inherited from class java.lang.Object

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

Constructor Detail

SoftCluster

public SoftCluster()

SoftCluster

public SoftCluster(Vector center,
                   int clusterId,
                   DistanceMeasure measure)

Construct a new SoftCluster with the given point as its center

Parameters:

center - the center point

measure - the DistanceMeasure

Method Detail

asFormatString

public String asFormatString()

Overrides:

asFormatString in class Kluster

getIdentifier

public String getIdentifier()

Overrides:

getIdentifier in class Kluster

pdf

public double pdf(VectorWritable vw)

Description copied from interface: Model

Return the probability that the observation is described by this model

Specified by:

pdf in interface Model<VectorWritable>

Overrides:

pdf in class DistanceMeasureCluster

Parameters:

vw - an Observation from the posterior

Returns:

the probability that x is in the receiver