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-4.4-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

Datasets:

    On CRAN:

    4.18 score 3 stars 4 scripts 112 downloads 4 exports 0 dependencies

    Last updated 3 years agofrom:dc612691c4. Checks:OK: 1 WARNING: 6. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKNov 05 2024
    R-4.5-winWARNINGNov 05 2024
    R-4.5-linuxWARNINGNov 05 2024
    R-4.4-winWARNINGNov 05 2024
    R-4.4-macWARNINGNov 05 2024
    R-4.3-winWARNINGNov 05 2024
    R-4.3-macWARNINGNov 05 2024

    Exports:ksharpmedinfoneiinfosilinfo

    Dependencies:

    Cluster sharpening using ksharp

    Rendered fromksharp.Rmdusingknitr::rmarkdownon Nov 05 2024.

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