<?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>zachneville.r-universe.dev</title><link>https://zachneville.r-universe.dev</link><description>Recent package updates in zachneville</description><generator>R-universe</generator><image><url>https://github.com/zachneville.png</url><title>R packages by zachneville</title><link>https://zachneville.r-universe.dev</link></image><lastBuildDate>Mon, 16 Mar 2026 08:10:37 GMT</lastBuildDate><item><title>[zachneville] clusterability 0.2.3.0</title><author>zachariahneville@outlook.com (Zachariah Neville)</author><description>Test for cluster tendency (clusterability) of a data set.
The methods implemented - reducing the data set to a single
dimension using principal component analysis or computing
pairwise distances, and performing a multimodality test like
the Dip Test or Silverman's Critical Bandwidth Test - are
described in Adolfsson, Ackerman, and Brownstein (2019)
&lt;doi:10.1016/j.patcog.2018.10.026&gt; and Laborde et al. (2023)
&lt;doi: 10.1186/s12859-023-05210-6&gt;. Such methods can inform
whether clustering algorithms are appropriate for a data set.</description><link>https://github.com/r-universe/zachneville/actions/runs/29313142050</link><pubDate>Mon, 16 Mar 2026 08:10:37 GMT</pubDate><r:package>clusterability</r:package><r:version>0.2.3.0</r:version><r:status>success</r:status><r:repository>https://zachneville.r-universe.dev</r:repository><r:upstream>https://github.com/cran/clusterability</r:upstream></item></channel></rss>