cclust (0.6-21)

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Convex Clustering Methods and Clustering Indexes.

http://cran.r-project.org/web/packages/cclust

Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.

Maintainer: Kurt Hornik
Author(s): Evgenia Dimitriadou [aut], Kurt Hornik [ctb, cre]

License: GPL-2

Uses: Does not use any package
Reverse depends: MOCCA
Reverse suggests: BarcodingR
Reverse enhances: clue

Released 3 months ago.


7 previous versions

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Related packages: AdMit, amap, bayesm, bayesmix, biclust, cba, CHsharp, clue, cluster, clusterfly, clusterGeneration, clusterRepro, clusterSim, clustvarsel, clv, clValid, compHclust, depmix, depmixS4, dynamicTreeCut(20 best matches, based on common tags.)


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