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-4.5)dclust_0.1.0.zip(r-4.4)dclust_0.1.0.zip(r-4.3)
dclust_0.1.0.tgz(r-4.4-any)dclust_0.1.0.tgz(r-4.3-any)
dclust_0.1.0.tar.gz(r-4.5-noble)dclust_0.1.0.tar.gz(r-4.4-noble)
dclust_0.1.0.tgz(r-4.4-emscripten)dclust_0.1.0.tgz(r-4.3-emscripten)
dclust.pdf |dclust.html✨
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 5 years agofrom:795211817f. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:dclust
Dependencies:apeaskpassdigestlatticenlmeopensslphylogramRcppsys
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Divisive/bisecting heirarchcal clustering | dclust |