org.apache.mahout.clustering.iterator
Class FuzzyKMeansClusteringPolicy

java.lang.Object
  extended by org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
      extended by 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
FuzzyKMeansClusteringPolicy()
           
FuzzyKMeansClusteringPolicy(double m, double convergenceDelta)
           
 
Method Summary
 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


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