Package elki.clustering.kmeans.initialization.betula

Interface CFInitWeight

All Known Implementing Classes:

InterclusterWeight, SquaredEuclideanWeight, VarianceWeight

public interface CFInitWeight

Initialization weight function for k-means initialization with BETULA.

Since:

0.8.0

Author:

Andreas Lang

Method Summary

Modifier and Type	Method	Description
double	squaredWeight(ClusterFeature exist, ClusterFeature cand)	Distance between two clustering features.

Method Detail

squaredWeight

double squaredWeight(ClusterFeature exist,
                     ClusterFeature cand)

Distance between two clustering features.

Parameters:

exist - Previously chosen clustering feature

cand - Candidate clustering feature

Returns:

Weight