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]

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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 exports 1.64 score 0 dependencies 1 dependents 5 mentions 46 scripts 933 downloads

Last updated 1 years agofrom:cf9bb061e5. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-win-x86_64OKSep 07 2024
R-4.5-linux-x86_64OKSep 07 2024
R-4.4-win-x86_64OKSep 07 2024
R-4.4-mac-x86_64OKSep 07 2024
R-4.4-mac-aarch64OKSep 07 2024
R-4.3-win-x86_64OKSep 07 2024
R-4.3-mac-x86_64OKSep 07 2024
R-4.3-mac-aarch64OKSep 07 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