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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Accelerated Hierarchical Density Clustering · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1705.07321/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1705.07321/feed.xml" rel="self" type="application/rss+xml" /><item><title>Accelerated Hierarchical Density Clustering — mentioned by bbischof</title><link>https://news.ycombinator.com/item?id=23813636</link><guid isPermaLink="false">urn:hackerpapers:mention:1705.07321:23813636</guid><pubDate>Sun, 12 Jul 2020 18:40:15 GMT</pubDate><description>&lt;p&gt;This is sorta true, but not quite. Leland McInnes and John Healy (the creators of UMAP), do in-fact have an amazing paper on HDBSCAN, but it&amp;#x27;s not inventing it. In their paper, https://arxiv.org/pdf/1705.07321.pdf, they introduce AHDBSCAN which is a great extension of HDBSCAN to dramatically improve it&amp;#x27;s performance. Their work is great but just wanted to save people a google in case they were interested.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1705.07321/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
