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)cclust_0.6-27.zip(r-4.6)cclust_0.6-27.zip(r-4.5)
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✨
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:

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

2.86 score 1 packages 48 scripts 685 downloads 5 mentions 2 exports 0 dependencies

Last updated from:92fed8cc8c. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	121
linux-devel-x86_64	OK	90
source / vignettes	OK	133
linux-release-arm64	OK	137
linux-release-x86_64	OK	89
macos-release-arm64	OK	115
macos-release-x86_64	OK	230
macos-oldrel-arm64	OK	97
macos-oldrel-x86_64	OK	232
windows-devel	OK	128
windows-release	OK	79
windows-oldrel	OK	82
wasm-release	OK	86