org.apache.mahout.clustering.iterator

Class DistanceMeasureCluster

java.lang.Object

org.apache.mahout.clustering.AbstractCluster

org.apache.mahout.clustering.iterator.DistanceMeasureCluster

All Implemented Interfaces:

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

Direct Known Subclasses:

Canopy, Kluster

public class DistanceMeasureCluster
extends AbstractCluster

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
DistanceMeasureCluster()
DistanceMeasureCluster(Vector point, int id, DistanceMeasure measure)

Method Summary

Modifier and Type	Method and Description
void	configure(org.apache.hadoop.conf.Configuration job)
String	getIdentifier()
DistanceMeasure	getMeasure()
double	pdf(VectorWritable vw) Return the probability that the observation is described by this model
void	readFields(DataInput in)
Model<VectorWritable>	sampleFromPosterior()
void	setMeasure(DistanceMeasure measure)
void	write(DataOutput out)

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, isConverged, 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, toString, wait, wait, wait

Constructor Detail

DistanceMeasureCluster

public DistanceMeasureCluster(Vector point,
                              int id,
                              DistanceMeasure measure)

DistanceMeasureCluster

public DistanceMeasureCluster()

Method Detail

configure

public void configure(org.apache.hadoop.conf.Configuration job)

Specified by:

configure in interface Parametered

Overrides:

configure in class AbstractCluster

readFields

public void readFields(DataInput in)
                throws IOException

Specified by:

readFields in interface org.apache.hadoop.io.Writable

Overrides:

readFields in class AbstractCluster

Throws:

IOException

write

public void write(DataOutput out)
           throws IOException

Specified by:

write in interface org.apache.hadoop.io.Writable

Overrides:

write in class AbstractCluster

Throws:

IOException

pdf

public double pdf(VectorWritable vw)

Description copied from interface: Model

Return the probability that the observation is described by this model

Parameters:

vw - an Observation from the posterior

Returns:

the probability that x is in the receiver

sampleFromPosterior

public Model<VectorWritable> sampleFromPosterior()

Returns:

a sample of my posterior model

getMeasure

public DistanceMeasure getMeasure()

setMeasure

public void setMeasure(DistanceMeasure measure)

Parameters:

measure - the measure to set

getIdentifier

public String getIdentifier()

Specified by:

getIdentifier in class AbstractCluster