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), normali
[email protected] low health (36/100) — consider alternatives
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/cran/aricodeFirst published · 2023-10-20 16:39:30
Last updated · 2023-10-20T14:10:02+00:00