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Package org.knime.base.node.mine.cluster.hierarchical.distfunctions

Contains distance function implementations for the Hierarchical Clustering node.

See:
          Description

Interface Summary
DistanceFunction The interface a distance function must implement.
 

Class Summary
EuclideanDist Calculates the distance for two data rows based on the euclidean distance.
ManhattanDist Calculates the distance for two data rows based on the manhatten distance.
MinkowskiDist Calculates the distance for two data rows based on the Minkowski distance.
 

Enum Summary
DistanceFunction.Names The name sof the implemented distance functions.
 

Package org.knime.base.node.mine.cluster.hierarchical.distfunctions Description

Contains distance function implementations for the Hierarchical Clustering node.

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University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
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