Package: discoCVI 0.2.1

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>.

Authors:Amin Entezari [aut, cre], Davide Chicco [ctb], Anna Beer [aut], Lena Krieger [aut], Pascal Weber [aut]