Package: cclust 0.6-26

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_0.6-26.tar.gz
cclust_0.6-26.zip(r-4.5)cclust_0.6-26.zip(r-4.4)cclust_0.6-26.zip(r-4.3)
cclust_0.6-26.tgz(r-4.4-x86_64)cclust_0.6-26.tgz(r-4.4-arm64)cclust_0.6-26.tgz(r-4.3-x86_64)cclust_0.6-26.tgz(r-4.3-arm64)
cclust_0.6-26.tar.gz(r-4.5-noble)cclust_0.6-26.tar.gz(r-4.4-noble)
cclust_0.6-26.tgz(r-4.4-emscripten)cclust_0.6-26.tgz(r-4.3-emscripten)
cclust.pdf |cclust.html
cclust/json (API)

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

Peer review:

On CRAN:

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

2.85 score 1 packages 47 scripts 672 downloads 5 mentions 2 exports 0 dependencies

Last updated 2 years agofrom:cf9bb061e5. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

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