cclust (0.6-21)

0 users

Convex Clustering Methods and Clustering Indexes.

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 about 3 years ago.

7 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of cclust yet. Want to be the first? Write one now.

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.)

Search for cclust on google, google scholar, r-help, r-devel.

Visit cclust on R Graphical Manual.