<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Curse-of-Dimensionality on The Standard Error</title><link>https://jongha-jeon-dev.github.io/standarderror/tags/curse-of-dimensionality/</link><description>Recent content in Curse-of-Dimensionality on The Standard Error</description><generator>Hugo -- 0.123.7</generator><language>en-gb</language><lastBuildDate>Tue, 13 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jongha-jeon-dev.github.io/standarderror/tags/curse-of-dimensionality/index.xml" rel="self" type="application/rss+xml"/><item><title>ML 33: The Curse of Dimensionality Counts the Dimensions the Data Use</title><link>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-33-dimensions/</link><pubDate>Tue, 13 Oct 2026 00:00:00 +0000</pubDate><guid>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-33-dimensions/</guid><description>Distances concentrate in high dimensions, for points that fill them. The digits&amp;#39; 64 pixels behave like 8 uniform dimensions, and nearest neighbours work on them until noise columns are added.</description></item></channel></rss>