Package: dclust 0.1.0
dclust: Divisive Hierarchical Clustering
Contains a single function 'dclust' for divisive hierarchical clustering based on recursive k-means partitioning (k = 2). Useful for clustering large datasets where computation of a n x n distance matrix is not feasible (e.g. n > 10,000 records). For further information see Steinbach M, Karypis G, Kumar V (2000) A Comparison of Document Clustering Techniques. Proceedings of World Text Mining Conference, KDD2000, Boston.
Authors:
dclust_0.1.0.tar.gz
dclust_0.1.0.zip(r-4.7-any)dclust_0.1.0.zip(r-4.6-any)dclust_0.1.0.zip(r-4.5-any)
dclust_0.1.0.tgz(r-4.6-any)dclust_0.1.0.tgz(r-4.5-any)
dclust_0.1.0.tar.gz(r-4.7-any)dclust_0.1.0.tar.gz(r-4.6-any)
dclust_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dclust/json (API)
| # Install 'dclust' in R: |
| install.packages('dclust', repos = c('https://shaunpwilkinson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shaunpwilkinson/dclust/issues
Last updated from:795211817f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 114 | ||
| source / vignettes | OK | 172 | ||
| linux-release | OK | 99 | ||
| macos-release | OK | 109 | ||
| macos-oldrel | OK | 107 | ||
| windows-devel | OK | 58 | ||
| windows-release | OK | 54 | ||
| windows-oldrel | OK | 58 | ||
| wasm-release | OK | 97 |
Exports:dclust
Dependencies:apeaskpassdigestlatticenlmeopensslphylogramRcppsys
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Divisive/bisecting heirarchcal clustering | dclust |