Package edu.ucla.sspace.clustering.criterion

Interface Summary

Interface	Description
CriterionFunction	This interface defines criteria methods used for DirecClustering.

Class Summary

Class	Description
BaseFunction	This CriterionFunction implements the basic functionality needed for a majority of the functions available.
E1Function	This CriterionFunction measures the external differences between clusters.
G1Function	This CriterionFunction interprets the dataset as a set of vertices in a graph and measures the best cuts of these vertices.
H1Function	This HybridBaseFunction uses the E1Function and the I1Function.
H2Function	This HybridBaseFunction uses the E1Function and the I1Function.
HybridBaseFunction	This CriterionFunction implements the basic functionality needed for a majority of the hybrid functions available.
I1Function	This CriterionFunction measures the amount of internal similarity for each computed centroid.
I2Function	This CriterionFunction measures the amount of internal similarity for each computed centroid.