Overview | Challenges with k-means | Visualizing cluster centers | Evaluating clustering performance | Motivation for G-means | G-means
Package: gmeans 0.3.0.9000
gmeans: G-means Clustering
Gaussian-means (G-means) clustering is a clustering algorithm that extends the k-means algorithm by automatically determining the number of clusters.
Authors:
gmeans_0.3.0.9000.tar.gz
gmeans_0.3.0.9000.zip(r-4.7-any)gmeans_0.3.0.9000.zip(r-4.6-any)gmeans_0.3.0.9000.zip(r-4.5-any)
gmeans_0.3.0.9000.tgz(r-4.6-any)gmeans_0.3.0.9000.tgz(r-4.5-any)
gmeans_0.3.0.9000.tar.gz(r-4.7-any)gmeans_0.3.0.9000.tar.gz(r-4.6-any)
gmeans_0.3.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gmeans/json (API)
| # Install 'gmeans' in R: |
| install.packages('gmeans', repos = c('https://m-muecke.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/m-muecke/gmeans/issues
Pkgdown/docs site:https://m-muecke.github.io
Last updated from:68f21130b8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 112 | ||
| source / vignettes | OK | 203 | ||
| linux-release | OK | 228 | ||
| macos-release | OK | 104 | ||
| macos-oldrel | OK | 104 | ||
| windows-devel | OK | 75 | ||
| windows-release | OK | 74 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 89 |
Exports:ad.testcompute_wssgmeans
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Anderson-Darling Normality Test | ad.test |
| Compute Within-Cluster Sum of Squares | compute_wss |
| G-means Clustering | gmeans |
| Tidy a G-means Clustering Object | augment.gmeans glance.gmeans gmeans_tidiers tidy.gmeans |
| Predict Method for G-means Clustering | predict.gmeans |
| Summarize a G-means Clustering Object | print.summary.gmeans summary.gmeans |