Package: aricode 1.0.3
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), 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.
Authors:
aricode_1.0.3.tar.gz
aricode_1.0.3.zip(r-4.5)aricode_1.0.3.zip(r-4.4)aricode_1.0.3.zip(r-4.3)
aricode_1.0.3.tgz(r-4.4-x86_64)aricode_1.0.3.tgz(r-4.4-arm64)aricode_1.0.3.tgz(r-4.3-x86_64)aricode_1.0.3.tgz(r-4.3-arm64)
aricode_1.0.3.tar.gz(r-4.5-noble)aricode_1.0.3.tar.gz(r-4.4-noble)
aricode_1.0.3.tgz(r-4.4-emscripten)aricode_1.0.3.tgz(r-4.3-emscripten)
aricode.pdf |aricode.html✨
aricode/json (API)
NEWS
| # 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
bucket-sortclusteringclustering-comparison-measures
Last updated 9 months agofrom:ffc98928af. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win-x86_64 | OK | Nov 23 2024 |
| R-4.5-linux-x86_64 | OK | Nov 23 2024 |
| R-4.4-win-x86_64 | OK | Nov 23 2024 |
| R-4.4-mac-x86_64 | OK | Nov 23 2024 |
| R-4.4-mac-aarch64 | OK | Nov 23 2024 |
| R-4.3-win-x86_64 | OK | Nov 23 2024 |
| R-4.3-mac-x86_64 | OK | Nov 23 2024 |
| R-4.3-mac-aarch64 | OK | Nov 23 2024 |
Exports:AMIARIChi2clustCompentropyMARIMARIrawNIDNMINVIRIsortPairs
