<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>无监督学习 - 标签 - HAKULA†CHANNEL</title><link>https://old.hakula.xyz/tags/%E6%97%A0%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0/</link><description>无监督学习 - 标签 - HAKULA†CHANNEL</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>i@hakula.xyz (Hakula)</managingEditor><webMaster>i@hakula.xyz (Hakula)</webMaster><lastBuildDate>Mon, 14 Jun 2021 03:00:00 +0800</lastBuildDate><atom:link href="https://old.hakula.xyz/tags/%E6%97%A0%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0/" rel="self" type="application/rss+xml"/><item><title>PRML - Lab 3: 聚类算法</title><link>https://old.hakula.xyz/posts/note/prml/clustering/</link><pubDate>Mon, 14 Jun 2021 03:00:00 +0800</pubDate><author>Hakula</author><guid>https://old.hakula.xyz/posts/note/prml/clustering/</guid><description><![CDATA[<div class="featured-image">
                <img src="https://hakula-1257872502.file.myqcloud.com/images/3/article-covers/bd34cb2a-2392-4817-ae41-e2c37b5ab971_87631904.webp" referrerpolicy="no-referrer">
            </div><p>本次作业利用 NumPy 实现了一个 K-Means 模型和一个 GMM 模型，并利用 Gap Statistic 方法实现了数据集中聚簇数量的自动推测。</p>
<p>Pattern Recognition and Machine Learning (H) @ Fudan University, spring 2021.</p>]]></description></item></channel></rss>