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:
ksharp_0.1.0.1.tar.gz
ksharp_0.1.0.1.zip(r-4.5)ksharp_0.1.0.1.zip(r-4.4)ksharp_0.1.0.1.zip(r-4.3)
ksharp_0.1.0.1.tgz(r-4.4-any)ksharp_0.1.0.1.tgz(r-4.3-any)
ksharp_0.1.0.1.tar.gz(r-4.5-noble)ksharp_0.1.0.1.tar.gz(r-4.4-noble)
ksharp_0.1.0.1.tgz(r-4.4-emscripten)ksharp_0.1.0.1.tgz(r-4.3-emscripten)
ksharp.pdf |ksharp.html✨
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
Last updated 3 years agofrom:dc612691c4. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
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Doc / Vignettes | OK | Sep 04 2024 |
R-4.5-win | WARNING | Sep 04 2024 |
R-4.5-linux | WARNING | Sep 04 2024 |
R-4.4-win | WARNING | Sep 04 2024 |
R-4.4-mac | WARNING | Sep 04 2024 |
R-4.3-win | WARNING | Sep 04 2024 |
R-4.3-mac | WARNING | Sep 04 2024 |
Exports:ksharpmedinfoneiinfosilinfo
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
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