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.
Version: 0.1.0.1 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 Documentation: Reference manual: ksharp.pdf Vignettes: ksharp vignettePlease use the canonical form https://CRAN.R-project.org/package=ksharp to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4