Package: ksharp
Title: Cluster Sharpening
Version: 0.1.0.1
Authors@R: person("Tomasz", "Konopka", email = "tokonopka@gmail.com", role = c("aut", "cre"))
Author: Tomasz Konopka [aut, cre]
Maintainer: Tomasz Konopka <tokonopka@gmail.com>
Description: 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
License: MIT + file LICENSE
URL: https://github.com/tkonopka/ksharp
BugReports: https://github.com/tkonopka/ksharp/issues
LazyData: true
Suggests: cluster, dbscan, knitr, Rcssplot (>= 1.0.0), rmarkdown,
        testthat
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-01-18 15:56:31 UTC; tkonopka
Repository: CRAN
Date/Publication: 2020-01-26 10:10:02 UTC
Built: R 4.6.0; ; 2026-04-25 11:34:20 UTC; unix
