Package: skmeans 0.2-20

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_0.2-20.tar.gz
skmeans_0.2-20.zip(r-4.7)skmeans_0.2-20.zip(r-4.6)skmeans_0.2-20.zip(r-4.5)
skmeans_0.2-20.tgz(r-4.6-any)skmeans_0.2-20.tgz(r-4.5-any)
skmeans_0.2-20.tar.gz(r-4.7-any)skmeans_0.2-20.tar.gz(r-4.6-any)
skmeans_0.2-20.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
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:

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

5.71 score 2 stars 22 packages 124 scripts 5.3k downloads 3 mentions 2 exports 3 dependencies

Last updated from:24f9d11d6a. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	281
source / vignettes	OK	164
linux-release-x86_64	OK	262
macos-release-arm64	OK	213
macos-oldrel-arm64	OK	207
windows-devel	OK	385
windows-release	OK	96
windows-oldrel	OK	94
wasm-release	OK	253