Package: fastkmedoids 1.7
fastkmedoids: Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA, FastCLARANS
R wrappers of C++ implementation of Faster K-Medoids clustering algorithms (FastPAM, FastCLARA and FastCLARANS) proposed in Erich Schubert, Peter J. Rousseeuw 2019 <doi:10.1007/978-3-030-32047-8_16>.
Authors:
fastkmedoids_1.7.tar.gz
fastkmedoids_1.7.zip(r-4.7-x86_64)fastkmedoids_1.7.zip(r-4.7-arm64)fastkmedoids_1.7.zip(r-4.6-x86_64)fastkmedoids_1.7.zip(r-4.6-arm64)fastkmedoids_1.7.zip(r-4.5-x86_64)
fastkmedoids_1.7.tgz(r-4.6-x86_64)fastkmedoids_1.7.tgz(r-4.6-arm64)fastkmedoids_1.7.tgz(r-4.5-x86_64)fastkmedoids_1.7.tgz(r-4.5-arm64)
fastkmedoids_1.7.tar.gz(r-4.7-arm64)fastkmedoids_1.7.tar.gz(r-4.7-x86_64)fastkmedoids_1.7.tar.gz(r-4.6-arm64)fastkmedoids_1.7.tar.gz(r-4.6-x86_64)
fastkmedoids_1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
fastkmedoids/json (API)
| # Install 'fastkmedoids' in R: |
| install.packages('fastkmedoids', repos = c('https://lixun910.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lixun910/fastkmedoids/issues
Last updated from:ad6987c76c. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 104 | ||
| linux-devel-x86_64 | OK | 128 | ||
| source / vignettes | OK | 183 | ||
| linux-release-arm64 | OK | 117 | ||
| linux-release-x86_64 | OK | 128 | ||
| macos-release-arm64 | OK | 140 | ||
| macos-release-x86_64 | OK | 435 | ||
| macos-oldrel-arm64 | OK | 172 | ||
| macos-oldrel-x86_64 | OK | 313 | ||
| windows-devel-arm64 | OK | 325 | ||
| windows-devel-x86_64 | OK | 115 | ||
| windows-release-arm64 | OK | 334 | ||
| windows-release-x86_64 | OK | 91 | ||
| windows-oldrel-x86_64 | OK | 108 | ||
| wasm-release | OK | 98 |
Exports:fastclarafastclaransfastpampam
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| FastCLARA | fastclara |
| FastCLARANS | fastclarans |
| FastPAM | fastpam |
| An S4 class to represent the result of kmedoids clustering | KmedoidsResult-class |
| PAM (Partitioning Around Medoids) | pam |