<?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>降维 on Colommar Blog</title><link>https://www.colommar.asia/ml-notes/%E9%99%8D%E7%BB%B4/</link><description>Recent content in 降维 on Colommar Blog</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 08 Jul 2026 07:33:44 +0000</lastBuildDate><atom:link href="https://www.colommar.asia/ml-notes/%E9%99%8D%E7%BB%B4/index.xml" rel="self" type="application/rss+xml"/><item><title>TODO</title><link>https://www.colommar.asia/ml-notes/%E9%99%8D%E7%BB%B4/todo/</link><pubDate>Wed, 08 Jul 2026 07:33:44 +0000</pubDate><guid>https://www.colommar.asia/ml-notes/%E9%99%8D%E7%BB%B4/todo/</guid><description>常见的降维算法 主成分分析（PCA，Principal Component Analysis） 特征分解 奇异值分解（SVD） t SNE 自动编码器</description></item></channel></rss>