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:Shaun Wilkinson [aut, cre], Paolo Giordani [aut]

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'))

Peer review:

Bug tracker:https://github.com/shaunpwilkinson/dclust/issues

On CRAN:

2.00 score 1 stars 1 scripts 131 downloads 1 exports 9 dependencies

Last updated 5 years agofrom:795211817f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winOKOct 17 2024
R-4.5-linuxOKOct 17 2024
R-4.4-winOKOct 17 2024
R-4.4-macOKOct 17 2024
R-4.3-winOKOct 17 2024
R-4.3-macOKOct 17 2024

Exports:dclust

Dependencies:apeaskpassdigestlatticenlmeopensslphylogramRcppsys