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>.

Version:	0.1.1
Depends:	R (≥ 3.6.0)
Imports:	FNN, stats
Suggests:	dbscan, testthat (≥ 3.0.0)
Published:	2026-05-05
DOI:	10.32614/CRAN.package.discoCVI
Author:	Amin Entezari [aut, cre], Davide Chicco [ctb] (Supervision and guidance), Anna Beer [aut] (Original Python implementation (arXiv:2503.00127)), Lena Krieger [aut] (Original Python implementation (arXiv:2503.00127)), Pascal Weber [aut] (Original Python implementation (arXiv:2503.00127))
Maintainer:	Amin Entezari <amin_entezari at outlook.com>
BugReports:	https://github.com/aminentezari/discoCVI/issues
License:	MIT + file LICENSE
URL:	https://github.com/aminentezari/discoCVI
NeedsCompilation:	no
Language:	en-GB
Materials:	README
CRAN checks:	discoCVI results

Documentation:

Reference manual:

discoCVI.html , discoCVI.pdf

Downloads:

Package source:	discoCVI_0.1.1.tar.gz
Windows binaries:	r-devel: discoCVI_0.1.1.zip, r-release: discoCVI_0.1.1.zip, r-oldrel: discoCVI_0.1.1.zip
macOS binaries:	r-release (arm64): discoCVI_0.1.1.tgz, r-oldrel (arm64): discoCVI_0.1.1.tgz, r-release (x86_64): discoCVI_0.1.1.tgz, r-oldrel (x86_64): discoCVI_0.1.1.tgz

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