<?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>Manifold Learning on 3rd layer</title><link>https://3rdlayer.uk/ko/tags/manifold-learning/</link><description>Recent content in Manifold Learning on 3rd layer</description><generator>Hugo -- 0.157.0</generator><language>ko-KR</language><lastBuildDate>Sun, 27 Sep 2026 09:00:00 +0900</lastBuildDate><atom:link href="https://3rdlayer.uk/ko/tags/manifold-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Trajectory ML 04: 이웃에서 시작하는 매니폴드 학습</title><link>https://3rdlayer.uk/ko/posts/trajectory-ml-04-manifold/</link><pubDate>Sun, 27 Sep 2026 09:00:00 +0900</pubDate><guid>https://3rdlayer.uk/ko/posts/trajectory-ml-04-manifold/</guid><description>Swiss roll에서 직선 거리와 곡면 거리를 구분하고, kNN 그래프와 Isomap, UMAP을 연결한다. 보기 좋은 지도와 검증된 시간축의 차이를 배운다.</description></item></channel></rss>