Package: ksharp 0.1.0.1

ksharp: Cluster Sharpening

Clustering typically assigns data points into discrete groups, but the clusters can sometimes be indistinct. Cluster sharpening adjusts an existing clustering to create contrast between groups. This package provides a general interface for cluster sharpening along with several implementations based on different excision criteria.

Authors:Tomasz Konopka [aut, cre]

ksharp_0.1.0.1.tar.gz
ksharp_0.1.0.1.zip(r-4.5)ksharp_0.1.0.1.zip(r-4.4)ksharp_0.1.0.1.zip(r-4.3)
ksharp_0.1.0.1.tgz(r-4.5-any)ksharp_0.1.0.1.tgz(r-4.4-any)ksharp_0.1.0.1.tgz(r-4.3-any)
ksharp_0.1.0.1.tar.gz(r-4.5-noble)ksharp_0.1.0.1.tar.gz(r-4.4-noble)
ksharp_0.1.0.1.tgz(r-4.4-emscripten)ksharp_0.1.0.1.tgz(r-4.3-emscripten)
ksharp.pdf |ksharp.html
ksharp/json (API)

# Install 'ksharp' in R:
install.packages('ksharp', repos = c('https://tkonopka.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tkonopka/ksharp/issues

On CRAN:

Conda:

4.18 score 3 stars 4 scripts 135 downloads 4 exports 0 dependencies

Last updated 3 years agofrom:dc612691c4. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winWARNINGMar 05 2025
R-4.5-macWARNINGMar 05 2025
R-4.5-linuxWARNINGMar 05 2025
R-4.4-winWARNINGMar 05 2025
R-4.4-macWARNINGMar 05 2025
R-4.4-linuxWARNINGMar 05 2025
R-4.3-winWARNINGMar 05 2025
R-4.3-macWARNINGMar 05 2025

Exports:ksharpmedinfoneiinfosilinfo

Dependencies:

Cluster sharpening using ksharp

Rendered fromksharp.Rmdusingknitr::rmarkdownon Mar 05 2025.

Last update: 2020-01-18
Started: 2018-03-01