Package: cclust 0.6-27

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.

Authors:Evgenia Dimitriadou [aut], Kurt Hornik [ctb, cre]

cclust_0.6-27.tar.gz
cclust_0.6-27.zip(r-4.7-x86_64)cclust_0.6-27.zip(r-4.7-arm64)cclust_0.6-27.zip(r-4.6-x86_64)cclust_0.6-27.zip(r-4.6-arm64)cclust_0.6-27.zip(r-4.5-x86_64)
cclust_0.6-27.tgz(r-4.6-x86_64)cclust_0.6-27.tgz(r-4.6-arm64)cclust_0.6-27.tgz(r-4.5-x86_64)cclust_0.6-27.tgz(r-4.5-arm64)
cclust_0.6-27.tar.gz(r-4.7-arm64)cclust_0.6-27.tar.gz(r-4.7-x86_64)cclust_0.6-27.tar.gz(r-4.6-arm64)cclust_0.6-27.tar.gz(r-4.6-x86_64)
cclust_0.6-27.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cclust/json (API)

# Install 'cclust' in R:
install.packages('cclust', repos = c('https://kurthornik.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.88 score 1 packages 51 scripts 692 downloads 5 mentions 2 exports 0 dependencies

Last updated from:92fed8cc8c. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK72
linux-devel-x86_64OK88
source / vignettesOK116
linux-release-arm64OK64
linux-release-x86_64OK84
macos-release-arm64OK81
macos-release-x86_64OK248
macos-oldrel-arm64OK93
macos-oldrel-x86_64OK247
windows-devel-arm64OK197
windows-devel-x86_64OK102
windows-release-arm64OK215
windows-release-x86_64OK81
windows-oldrel-x86_64OK60
wasm-releaseOK77

Exports:cclustclustIndex

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Convex Clusteringcclust hardcl kmeans neuralgas print.cclust
Cluster IndexesclustIndex
Assign clusters to new datapredict.cclust