org.apache.mahout.clustering.iterator

Class KMeansClusteringPolicy

java.lang.Object

org.apache.mahout.clustering.iterator.AbstractClusteringPolicy

org.apache.mahout.clustering.iterator.KMeansClusteringPolicy

All Implemented Interfaces:

org.apache.hadoop.io.Writable, ClusteringPolicy

public class KMeansClusteringPolicy
extends AbstractClusteringPolicy

This is a simple maximum likelihood clustering policy, suitable for k-means clustering

Constructor Summary

Constructors

Constructor and Description
KMeansClusteringPolicy()
KMeansClusteringPolicy(double convergenceDelta)

Method Summary

Modifier and Type	Method and Description
void	close(ClusterClassifier posterior) Close the policy using the classifier's models
void	readFields(DataInput in)
void	write(DataOutput out)

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

classify, select, update

Methods inherited from class java.lang.Object

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

Constructor Detail

KMeansClusteringPolicy

public KMeansClusteringPolicy()

KMeansClusteringPolicy

public KMeansClusteringPolicy(double convergenceDelta)

Method Detail

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