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
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
KMeansClusteringPolicy
public KMeansClusteringPolicy()
KMeansClusteringPolicy
public KMeansClusteringPolicy(double convergenceDelta)
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
Copyright © 2008–2014 The Apache Software Foundation. All rights reserved.