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-4.7)dclust_0.1.0.zip(r-4.6)dclust_0.1.0.zip(r-4.5)
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
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

On CRAN:

Conda:

2.00 score 1 stars 2 scripts 224 downloads 1 exports 9 dependencies

Last updated from:795211817f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK192
linux-release-x86_64OK106
macos-release-arm64OK127
macos-oldrel-arm64OK162
windows-develOK72
windows-releaseOK63
windows-oldrelOK78
wasm-releaseOK94

Exports:dclust

Dependencies:apeaskpassdigestlatticenlmeopensslphylogramRcppsys