QtClustering API qtclustering-163 (20111029234107)

Package edu.cornell.med.icb.clustering

Contains classes to aid in the classification of objects into different groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined distance measure.

See:
          Description

Interface Summary
Clusterer Common interface definition for clustering algorithms.
SimilarityDistanceCalculator Calculates a similarity measure between two instances available to the clustering algorithm, or between one instance and a cluster.
 

Class Summary
MaxLinkageDistanceCalculator Maximum distance linkage calculator.
MCLClusterer http://micans.org/mcl/
QTClusterer Implements the QT Clustering algorithm.
 

Exception Summary
ClusteringException Indicates a problem while clustering objects.
 

Package edu.cornell.med.icb.clustering Description

Contains classes to aid in the classification of objects into different groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined distance measure.


QtClustering API qtclustering-163 (20111029234107)

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