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

10.05 score 28 stars 21 packages 1.0k scripts 5.2k downloads 3 mentions 15 exports 6 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK170
linux-devel-x86_64OK170
source / vignettesOK203
linux-release-arm64OK167
linux-release-x86_64OK157
macos-release-arm64OK100
macos-release-x86_64OK238
macos-oldrel-arm64OK192
macos-oldrel-x86_64OK234
windows-develOK159
windows-releaseOK137
windows-oldrelOK114
wasm-releaseOK126

Exports:AMIARIChi2clustCompcompare_clusteringentropyFrobeniusMARIMARIrawNIDNMINVIRIsort_pairssortPairs

Dependencies:clilatticelifecycleMatrixRcpprlang