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.

Depends: R (≥ 3.5.0)
Imports: methods, stats
Suggests: cluster, dbscan, knitr, Rcssplot (≥ 1.0.0), rmarkdown, testthat
Published: 2020-01-26
DOI: 10.32614/CRAN.package.ksharp
Author: Tomasz Konopka [aut, cre]
Maintainer: Tomasz Konopka <tokonopka at gmail.com>
BugReports: https://github.com/tkonopka/ksharp/issues
License: MIT + file LICENSE
URL: https://github.com/tkonopka/ksharp
NeedsCompilation: no
CRAN checks: ksharp results


Reference manual: ksharp.pdf
Vignettes: ksharp vignette


Package source: ksharp_0.1.0.1.tar.gz
Windows binaries: r-devel: ksharp_0.1.0.1.zip, r-release: ksharp_0.1.0.1.zip, r-oldrel: ksharp_0.1.0.1.zip
macOS binaries: r-release (arm64): ksharp_0.1.0.1.tgz, r-oldrel (arm64): ksharp_0.1.0.1.tgz, r-release (x86_64): ksharp_0.1.0.1.tgz, r-oldrel (x86_64): ksharp_0.1.0.1.tgz


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