org.apache.mahout.clustering.iterator

Class FuzzyKMeansClusteringPolicy

java.lang.Object

org.apache.mahout.clustering.iterator.AbstractClusteringPolicy

org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy

All Implemented Interfaces:

org.apache.hadoop.io.Writable, ClusteringPolicy

public class FuzzyKMeansClusteringPolicy
extends AbstractClusteringPolicy

This is a probability-weighted clustering policy, suitable for fuzzy k-means clustering

Constructor Summary

Constructors

Constructor and Description
FuzzyKMeansClusteringPolicy()
FuzzyKMeansClusteringPolicy(double m, double convergenceDelta)

Method Summary

Modifier and Type	Method and Description
Vector	classify(Vector data, ClusterClassifier prior) Classify the data vector given the classifier's models
void	close(ClusterClassifier posterior) Close the policy using the classifier's models
void	readFields(DataInput in)
Vector	select(Vector probabilities) Return a vector of weights for each of the models given those probabilities
void	write(DataOutput out)

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

update

Methods inherited from class java.lang.Object

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

Constructor Detail

FuzzyKMeansClusteringPolicy

public FuzzyKMeansClusteringPolicy()

FuzzyKMeansClusteringPolicy

public FuzzyKMeansClusteringPolicy(double m,
                                   double convergenceDelta)

Method Detail

select

public Vector select(Vector probabilities)

Description copied from interface: ClusteringPolicy

Return a vector of weights for each of the models given those probabilities

Specified by:

select in interface ClusteringPolicy

Overrides:

select in class AbstractClusteringPolicy

Parameters:

probabilities - a Vector of pdfs

Returns:

a Vector of weights

classify

public Vector classify(Vector data,
                       ClusterClassifier prior)

Description copied from interface: ClusteringPolicy

Classify the data vector given the classifier's models

Specified by:

classify in interface ClusteringPolicy

Overrides:

classify in class AbstractClusteringPolicy

Parameters:

data - a data Vector

prior - a prior ClusterClassifier

Returns:

a Vector of probabilities that the data is described by each of the models

write

public void write(DataOutput out)
           throws IOException

Specified by:

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

Specified by:

write in class AbstractClusteringPolicy

Throws:

IOException

readFields

public void readFields(DataInput in)
                throws IOException

Specified by:

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

Specified by:

readFields in class AbstractClusteringPolicy

Throws:

IOException

close

public void close(ClusterClassifier posterior)

Description copied from interface: ClusteringPolicy

Close the policy using the classifier's models

Specified by:

close in interface ClusteringPolicy

Overrides:

close in class AbstractClusteringPolicy

Parameters:

posterior - a posterior ClusterClassifier