Package: MKMeans 3.4.4

Yarong Yang

MKMeans: A Modern K-Means (MKMeans) Clustering Algorithm

It's a Modern K-Means clustering algorithm which works for data of any number of dimensions, has no limit with the number of clusters expected, offers both methods with and without initial cluster centers, and can start with any initial cluster centers for the method with initial cluster centers.

Authors:Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin [ctb], Jacob Zhang [ctb]

MKMeans_3.4.4.tar.gz
MKMeans_3.4.4.zip(r-4.7-any)MKMeans_3.4.4.zip(r-4.6-any)
MKMeans_3.4.4.tar.gz(r-4.7-any)MKMeans_3.4.4.tar.gz(r-4.6-any)
MKMeans_3.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MKMeans/json (API)

# Install 'MKMeans' in R:
install.packages('MKMeans', repos = c('https://cran.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.

1.00 score 399 downloads 3 exports 2 dependencies

Last updated from:81a839a842. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK87
source / vignettesOK194
linux-releaseOK91
windows-develOK63
windows-releaseOK60
wasm-releaseOK86

Exports:C.fDistMKMeans

Dependencies:gtoolsMASS