Interface CFInitWeight
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- 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
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description double
squaredWeight(ClusterFeature exist, ClusterFeature cand)
Distance between two clustering features.
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Method Detail
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squaredWeight
double squaredWeight(ClusterFeature exist, ClusterFeature cand)
Distance between two clustering features.- Parameters:
exist
- Previously chosen clustering featurecand
- Candidate clustering feature- Returns:
- Weight
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