org.apache.mahout.clustering
Interface ClusteringPolicy

All Known Implementing Classes:

DirichletClusteringPolicy, FuzzyKMeansClusteringPolicy, KMeansClusteringPolicy

public interface ClusteringPolicy

A ClusteringPolicy captures the semantics of assignment of points to clusters

Method Summary

Vector	select(Vector probabilities) Return the index of the most appropriate model
void	update(ClusterClassifier posterior) Update the policy with the given classifier

Method Detail

select

Vector select(Vector probabilities)

Return the index of the most appropriate model

Parameters:

probabilities - a Vector of pdfs

Returns:

a Vector of weights

update

void update(ClusterClassifier posterior)

Update the policy with the given classifier

Parameters:

posterior - a ClusterClassifier