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: 7.1.2
Repository: https://tkonopka.r-universe.dev
Date/Publication: 2021-12-10 08:10:01 UTC
RemoteUrl: https://github.com/tkonopka/ksharp
RemoteRef: HEAD
RemoteSha: dc612691c4305acf5656fe4635b071b0f9170abb
NeedsCompilation: no
Packaged: 2026-06-07 07:21:14 UTC; root