<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Tue, 14 Apr 2026 09:12:46 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/plt/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[1-3 Iris flowers 데이터 Scikit k-means clustering 비지도학습]]></title><description><![CDATA[Scikit-learn 라이브러리 모듈에서 제공하는 make_blobs 데이터를 사용하여 연습만 할 것이 아니라 Iris flowers 데이터를 대상으로 k-means 클러스터링 기법을 응용해 보기로 하자. 이미 필자의 저서 “파이선 코딩 초보자를 위한 Scikit∙PyTorch 머신러닝” 1장에서 Iris flowers 데이터를 대상으로 하는 각종]]></description><link>http://direct.ecency.com/kr/@codingart/1-3-iris-flowers-scikit-k-means-clustering</link><guid isPermaLink="true">http://direct.ecency.com/kr/@codingart/1-3-iris-flowers-scikit-k-means-clustering</guid><category><![CDATA[kr]]></category><dc:creator><![CDATA[codingart]]></dc:creator><pubDate>Sat, 04 Jan 2020 00:48:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/HNWT6DgoBc14riaEeLCzGYopkqYBKxpGKqfNWfgr368M9VApGDMFtcjfmfD7Dv3DSEHwbuaZQcouqYCGtt26VeWpm2SBSu5RSHqyNm8hDXMJzLRHw2v7YBvziwp?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>