<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<oembed>
  <author_name>nekobean</author_name>
  <author_url>https://blog.hatena.ne.jp/nekobean/</author_url>
  <blog_title>pynote</blog_title>
  <blog_url>https://pynote.hatenablog.com/</blog_url>
  <categories>
    <anon>機械学習</anon>
  </categories>
  <description>概要 k-近傍法 (k-nearest neighbor algorithm, KNN) の学習用メモ。</description>
  <height>190</height>
  <html>&lt;iframe src=&quot;https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpynote.hatenablog.com%2Fentry%2Fk-nearest-neighbor&quot; title=&quot;k 近傍法 (KNN) - pynote&quot; class=&quot;embed-card embed-blogcard&quot; scrolling=&quot;no&quot; frameborder=&quot;0&quot; style=&quot;display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;&quot;&gt;&lt;/iframe&gt;</html>
  <image_url>https://lh3.googleusercontent.com/-b9TEHCZKuW8/XZba2PnkqsI/AAAAAAAADo0/xasUXlsjVpcYsAJ8lduKzr_GccpcIWzUACE0YBhgL/s1200/knn_03.png</image_url>
  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2019-10-04 15:00:36</published>
  <title>k 近傍法 (KNN)</title>
  <type>rich</type>
  <url>https://pynote.hatenablog.com/entry/k-nearest-neighbor</url>
  <version>1.0</version>
  <width>100%</width>
</oembed>
