Package: aricode 1.1.0

aricode: Efficient Computations of Standard Clustering Comparison Measures

Implements an efficient O(n) algorithm based on bucket-sorting for fast computation of standard clustering comparison measures. Available measures include adjusted Rand index (ARI), normalized information distance (NID), normalized mutual information (NMI), normalized variation information (NVI) and entropy, as described in Vinh et al (2009) <doi:10.1145/1553374.1553511>. Include AMI (Adjusted Mutual Information) since version 0.1.2, a modified version of ARI (MARI), as described in Sundqvist et al. <doi:10.1007/s00180-022-01230-7> and simple Chi-square distance since version 1.0.0.

Authors:Julien Chiquet [aut, cre], Guillem Rigaill [aut], Martina Sundqvist [aut], Valentin Dervieux [ctb], Florent Bersani [ctb]

aricode_1.1.0.tar.gz
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aricode_1.1.0.tgz(r-4.6-x86_64)aricode_1.1.0.tgz(r-4.6-arm64)aricode_1.1.0.tgz(r-4.5-x86_64)aricode_1.1.0.tgz(r-4.5-arm64)
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aricode_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
aricode/json (API)

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

Bug tracker:https://github.com/jchiquet/aricode/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

bucket-sortclusteringclustering-comparison-measurescpp

10.06 score 28 stars 22 packages 1.0k scripts 5.0k downloads 3 mentions 15 exports 6 dependencies

Last updated from:9285bebe41. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK140
linux-devel-x86_64OK145
source / vignettesOK187
linux-release-arm64OK140
linux-release-x86_64OK123
macos-release-arm64OK89
macos-release-x86_64OK205
macos-oldrel-arm64OK97
macos-oldrel-x86_64OK159
windows-develOK111
windows-releaseOK126
windows-oldrelOK119
wasm-releaseOK113

Exports:AMIARIChi2clustCompcompare_clusteringentropyFrobeniusMARIMARIrawNIDNMINVIRIsort_pairssortPairs

Dependencies:clilatticelifecycleMatrixRcpprlang