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.
- Version1.0.3
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- Last release10/20/2023
Documentation
Team
Julien Chiquet
Guillem Rigaill
Show author detailsRolesAuthorMartina Sundqvist
Show author detailsRolesAuthorValentin Dervieux
Show author detailsRolesContributorFlorent Bersani
Show author detailsRolesContributor
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Last 30 days
This package has been downloaded 1,964 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 70 times.
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Last 365 days
This package has been downloaded 18,389 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Jun 19, 2024 with 153 downloads.
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Dependencies
- Imports2 packages
- Suggests2 packages
- Linking To1 package
- Reverse Imports6 packages
- Reverse Suggests3 packages