<?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>herbermann.r-universe.dev</title><link>https://herbermann.r-universe.dev</link><description>Recent package updates in herbermann</description><generator>R-universe</generator><image><url>https://github.com/herbermann.png</url><title>R packages by herbermann</title><link>https://herbermann.r-universe.dev</link></image><lastBuildDate>Tue, 21 Jul 2026 08:45:54 GMT</lastBuildDate><item><title>[biocstaging] mdclust 0.99.2</title><author>tim.herbermann@embl.de (Tim Herbermann)</author><description>Standalone implementation of the maximum diversity
clustering algorithm (Algorithm 2) from Korsunsky et al.
(2019), Nature Methods. Soft spherical k-means with a
batch-diversity penalty.</description><link>https://github.com/r-universe/biocstaging/actions/runs/37589731182</link><pubDate>Tue, 21 Jul 2026 08:45:54 GMT</pubDate><r:package>mdclust</r:package><r:version>0.99.2</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/mdclust</r:upstream><r:article><r:source>mdclust.qmd</r:source><r:filename>mdclust.html</r:filename><r:title>Maximum Diversity Clustering</r:title><r:created>2026-07-20 12:15:37</r:created><r:modified>2026-07-20 13:27:41</r:modified></r:article></item></channel></rss>