Package: skmeans 0.2-21

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.

Authors:Kurt Hornik [aut, cre], Ingo Feinerer [aut], Martin Kober [aut]

skmeans_0.2-21.tar.gz
skmeans_0.2-21.zip(r-4.7-any)skmeans_0.2-21.zip(r-4.6-any)skmeans_0.2-21.zip(r-4.5-any)
skmeans_0.2-21.tgz(r-4.6-any)skmeans_0.2-21.tgz(r-4.5-any)
skmeans_0.2-21.tar.gz(r-4.7-any)skmeans_0.2-21.tar.gz(r-4.6-any)
skmeans_0.2-21.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
skmeans/json (API)

# Install 'skmeans' in R:
install.packages('skmeans', 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.

5.60 score 2 stars 23 packages 112 scripts 2.8k downloads 3 mentions 2 exports 3 dependencies

Last updated from:65c2870701. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK93
source / vignettesOK155
linux-releaseOK87
macos-releaseOK81
macos-oldrelOK83
windows-develOK73
windows-releaseOK65
windows-oldrelOK69
wasm-releaseOK95

Exports:skmeansskmeans_xdist

Dependencies:clueclusterslam