Package de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality

Quality measures for k-Means results.

See: Description

Interface Summary

Interface	Description
KMeansQualityMeasure<O extends NumberVector<?>,D extends Distance<?>>	Interface for computing the quality of a K-Means clustering.

Class Summary

Class	Description
WithinClusterMeanDistanceQualityMeasure	Class for computing the average overall distance.
WithinClusterVarianceQualityMeasure	Class for computing the variance in a clustering result (sum-of-squares).

Package de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality Description

Quality measures for k-Means results.