skmeans: Spherical k-Means Clustering

Algorithms to compute spherical k-means partitions. Features several methods, including a genetic and a fixed-point algorithm and an interface to the CLUTO vcluster program.

Version: 0.2-13
Imports: slam (≥ 0.1-31), clue (≥ 0.3-39), cluster, stats, utils
Enhances: Matrix, kmndirs
Published: 2020-12-03
Author: Kurt Hornik ORCID iD [aut, cre], Ingo Feinerer [aut], Martin Kober [aut]
Maintainer: Kurt Hornik <Kurt.Hornik at R-project.org>
License: GPL-2
NeedsCompilation: no
Citation: skmeans citation info
In views: Cluster, NaturalLanguageProcessing
CRAN checks: skmeans results

Downloads:

Reference manual: skmeans.pdf
Package source: skmeans_0.2-13.tar.gz
Windows binaries: r-devel: skmeans_0.2-12.zip, r-release: skmeans_0.2-13.zip, r-oldrel: skmeans_0.2-12.zip
macOS binaries: r-release: skmeans_0.2-12.tgz, r-oldrel: skmeans_0.2-12.tgz
Old sources: skmeans archive

Reverse dependencies:

Reverse imports: cola, movMF
Reverse suggests: flexclust, mlr3spatiotempcv

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