Package: mclustcomp 0.3.5
mclustcomp: Measures for Comparing Clusters
Given a set of data points, a clustering is defined as a disjoint partition where each pair of sets in a partition has no overlapping elements. This package provides 25 methods that play a role somewhat similar to distance or metric that measures similarity of two clusterings - or partitions. For a more detailed description, see Meila, M. (2005) <doi:10.1145/1102351.1102424>.
Authors:
mclustcomp_0.3.5.tar.gz
mclustcomp_0.3.5.zip(r-4.7-x86_64)mclustcomp_0.3.5.zip(r-4.7-arm64)mclustcomp_0.3.5.zip(r-4.6-x86_64)mclustcomp_0.3.5.zip(r-4.6-arm64)mclustcomp_0.3.5.zip(r-4.5-x86_64)
mclustcomp_0.3.5.tgz(r-4.6-x86_64)mclustcomp_0.3.5.tgz(r-4.6-arm64)mclustcomp_0.3.5.tgz(r-4.5-x86_64)mclustcomp_0.3.5.tgz(r-4.5-arm64)
mclustcomp_0.3.5.tar.gz(r-4.7-arm64)mclustcomp_0.3.5.tar.gz(r-4.7-x86_64)mclustcomp_0.3.5.tar.gz(r-4.6-arm64)mclustcomp_0.3.5.tar.gz(r-4.6-x86_64)
mclustcomp_0.3.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mclustcomp/json (API)
| # Install 'mclustcomp' in R: |
| install.packages('mclustcomp', repos = c('https://kisungyou.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kisungyou/mclustcomp/issues
Last updated from:ef28aedb32. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 77 | ||
| linux-devel-x86_64 | OK | 111 | ||
| source / vignettes | OK | 225 | ||
| linux-release-arm64 | OK | 79 | ||
| linux-release-x86_64 | OK | 110 | ||
| macos-release-arm64 | OK | 112 | ||
| macos-release-x86_64 | OK | 188 | ||
| macos-oldrel-arm64 | OK | 106 | ||
| macos-oldrel-x86_64 | OK | 187 | ||
| windows-devel-arm64 | OK | 191 | ||
| windows-devel-x86_64 | OK | 148 | ||
| windows-release-arm64 | OK | 257 | ||
| windows-release-x86_64 | OK | 99 | ||
| windows-oldrel-x86_64 | OK | 120 | ||
| wasm-release | OK | 90 |
Exports:mclustcomp
Dependencies:rbibutilsRcppRcppArmadilloRdpack
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Measures for Comparing Clusterings | mclustcomp |
