Package: cba 0.2-25

Christian Buchta

cba: Clustering for Business Analytics

Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.

Authors:Christian Buchta [aut, cre], Michael Hahsler [aut]

cba_0.2-25.tar.gz
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cba.pdf |cba.html
cba/json (API)

# Install 'cba' in R:
install.packages('cba', repos = c('https://mhahsler.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Mushroom - Mushroom Data Set
  • Votes - Congressional Votes 1984 Data Set
  • townships - Bertin's Characteristics and Townships Data Set

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

24 exports 1.08 score 1 dependencies 3 dependents 172 scripts 2.6k downloads

Last updated 22 days agofrom:91d4934548. Checks:OK: 8 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKAug 17 2024
R-4.5-win-x86_64OKAug 17 2024
R-4.5-linux-x86_64NOTEAug 17 2024
R-4.4-win-x86_64OKAug 17 2024
R-4.4-mac-x86_64OKAug 17 2024
R-4.4-mac-aarch64OKAug 17 2024
R-4.3-win-x86_64OKAug 17 2024
R-4.3-mac-x86_64OKAug 17 2024
R-4.3-mac-aarch64OKAug 17 2024

Exports:as.dummyccfkmscircleplot.distclmplotcluster.distgknnimplotlmplotorder.data.frameorder.distorder.greedyorder.lengthorder.matrixorder.optimalproximusrlbmatrockClusterrockLinksdistssdists.centersdists.center.alignsdists.tracestressstress.dist

Dependencies:proxy