discoCVI
Implementation of the DISCO Metric for Internal Clustering Evaluation
Implementation of the DISCO (Density-based Internal Score for Clusterings with nOise) metric, a cluster validity index for evaluating density-based clustering results without ground truth labels. DISCO is the first index to explicitly assess the quality of noise point assignments in addition to cluster quality. It uses density-connectivity distance derived from a minimum spanning tree of the mutual-reachability graph, providing interpretable, bounded scores in [-1, 1]. Higher scores indicate better clustering. Based on Beer et al. (2025) <doi:10.48550/arXiv.2503.00127>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | discoCVI_0.1.1.tar.gz |
107.8 KiB |
0.1.1 |
rolling linux/noble R-4.5 | discoCVI_0.1.1.tar.gz |
107.7 KiB |
0.1.1 |
rolling source/ R- | discoCVI_0.1.1.tar.gz |
70.6 KiB |
0.1.1 |
latest linux/jammy R-4.5 | discoCVI_0.1.1.tar.gz |
107.8 KiB |
0.1.1 |
latest linux/noble R-4.5 | discoCVI_0.1.1.tar.gz |
107.7 KiB |
0.1.1 |
latest source/ R- | discoCVI_0.1.1.tar.gz |
70.6 KiB |
0.1.1 |
2026-04-23 source/ R- | discoCVI_0.1.1.tar.gz |
0 B |