<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>aminentezari.r-universe.dev</title><link>https://aminentezari.r-universe.dev</link><description>Recent package updates in aminentezari</description><generator>R-universe</generator><image><url>https://github.com/aminentezari.png</url><title>R packages by aminentezari</title><link>https://aminentezari.r-universe.dev</link></image><lastBuildDate>Sat, 02 May 2026 08:57:34 GMT</lastBuildDate><item><title>[aminentezari] discoCVI 0.1.1</title><author>amin_entezari@outlook.com (Amin Entezari)</author><description>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)
&lt;doi:10.48550/arXiv.2503.00127&gt;.</description><link>https://github.com/r-universe/aminentezari/actions/runs/27005532792</link><pubDate>Sat, 02 May 2026 08:57:34 GMT</pubDate><r:package>discoCVI</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://aminentezari.r-universe.dev</r:repository><r:upstream>https://github.com/aminentezari/discocvi</r:upstream></item></channel></rss>