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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.08623/</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/2407.08623/feed.xml" rel="self" type="application/rss+xml" /><item><title>Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric — mentioned by Lerc</title><link>https://news.ycombinator.com/item?id=41795767</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.08623:41795767</guid><pubDate>Thu, 10 Oct 2024 05:19:10 GMT</pubDate><description>&lt;p&gt;Also recently. Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric (DIEM) https://arxiv.org/abs/2407.08623v2&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.08623/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
