CRAN/E | aricode

aricode

Efficient Computations of Standard Clustering Comparison Measures

Installation

About

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), adjusted mutual information (AMI), 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.

github.com/jchiquet/aricode
Bug report File report

Key Metrics

Version 1.0.3
Published 2023-10-20 189 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks aricode results
Language en-US

Downloads

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Maintainer

Maintainer

Julien Chiquet

julien.chiquet@inrae.fr

Authors

Julien Chiquet

aut / cre

Guillem Rigaill

aut

Martina Sundqvist

aut

Valentin Dervieux

ctb

Florent Bersani

ctb

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

aricode archive

Imports

Matrix
Rcpp

Suggests

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LinkingTo

Rcpp

Reverse Imports

clustAnalytics
Dune
GREMLINS
ILoReg
l1spectral
pipeComp
SISIR
WormTensor

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