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.

Author
Evgenia Dimitriadou [aut], Kurt Hornik [ctb, cre]
Date of publication
2015-06-24 17:41:46
Maintainer
Kurt Hornik <Kurt.Hornik@R-project.org>
License
GPL-2
Version
0.6-20

View on CRAN

Man pages

cclust
Convex Clustering
predict.cclust
Assign clusters to new data
Rindexes
Cluster Indexes

Files in this package

cclust
cclust/src
cclust/src/cclust.c
cclust/src/count.c
cclust/src/median.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