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
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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'))

Peer review:

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

On CRAN:

4.18 score 3 stars 4 scripts 170 downloads 4 exports 0 dependencies

Last updated 3 years agofrom:dc612691c4. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 03 2025
R-4.5-winWARNINGFeb 03 2025
R-4.5-macWARNINGFeb 03 2025
R-4.5-linuxWARNINGFeb 03 2025
R-4.4-winWARNINGFeb 03 2025
R-4.4-macWARNINGFeb 03 2025
R-4.3-winWARNINGFeb 03 2025
R-4.3-macWARNINGFeb 03 2025

Exports:ksharpmedinfoneiinfosilinfo

Dependencies:

Cluster sharpening using ksharp

Rendered fromksharp.Rmdusingknitr::rmarkdownon Feb 03 2025.

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