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-4.7)ksharp_0.1.0.1.zip(r-4.6)ksharp_0.1.0.1.zip(r-4.5)
ksharp_0.1.0.1.tgz(r-4.6-any)ksharp_0.1.0.1.tgz(r-4.5-any)
ksharp_0.1.0.1.tar.gz(r-4.7-any)ksharp_0.1.0.1.tar.gz(r-4.6-any)
ksharp_0.1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ksharp/json (API)

# Install 'ksharp' in R:

install.packages('ksharp', repos = c('https://tkonopka.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tkonopka/ksharp/issues

On CRAN:

4.00 score 2 stars 9 scripts 127 downloads 4 exports 0 dependencies

Last updated from:dc612691c4. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	116
source / vignettes	ERROR	186
linux-release-x86_64	WARNING	110
macos-release-arm64	WARNING	69
macos-oldrel-arm64	WARNING	94
windows-devel	WARNING	101
windows-release	WARNING	90
windows-oldrel	WARNING	71
wasm-release	OK	99