cclust: 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.

AuthorEvgenia Dimitriadou [aut], Kurt Hornik [ctb, cre]
Date of publication2017-01-17 12:33:33
MaintainerKurt Hornik <Kurt.Hornik@R-project.org>
LicenseGPL-2
Version0.6-21

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Files in this package

cclust
cclust/src
cclust/src/cclust.c
cclust/src/count.c
cclust/src/median.c
cclust/src/init.c
cclust/NAMESPACE
cclust/R
cclust/R/Rindexes.R cclust/R/cclust.R
cclust/MD5
cclust/DESCRIPTION
cclust/man
cclust/man/predict.cclust.Rd cclust/man/Rindexes.Rd cclust/man/cclust.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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