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atom.xml
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<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
<title>邪云</title>
<subtitle>无尘</subtitle>
<link href="https://axieyun.top/atom.xml" rel="self"/>
<link href="https://axieyun.top/"/>
<updated>2022-10-29T13:11:06.675Z</updated>
<id>https://axieyun.top/</id>
<author>
<name>Axieyun</name>
</author>
<generator uri="https://hexo.io/">Hexo</generator>
<entry>
<title></title>
<link href="https://axieyun.top/posts/0.html"/>
<id>https://axieyun.top/posts/0.html</id>
<published>2022-10-29T13:07:24.005Z</published>
<updated>2022-10-29T13:11:06.675Z</updated>
<summary type="html"><h3 id="效果"><a href="#效果" class="headerlink" title="效果"></a>效果</h3><p><img</summary>
</entry>
<entry>
<title>回归建模的完整流程</title>
<link href="https://axieyun.top/posts/55b3.html"/>
<id>https://axieyun.top/posts/55b3.html</id>
<published>2022-08-30T05:22:31.000Z</published>
<updated>2022-08-31T04:20:51.615Z</updated>
<summary type="html"><p>==建立回归模型的一般步骤如下图==</p>
<p><img</summary>
</entry>
<entry>
<title>abd使用</title>
<link href="https://axieyun.top/posts/c786.html"/>
<id>https://axieyun.top/posts/c786.html</id>
<published>2022-07-24T05:21:44.000Z</published>
<updated>2022-07-24T05:28:29.551Z</updated>
<summary type="html"><h3 id="开启服务"><a href="#开启服务" class="headerlink" title="开启服务"></a>开启服务</h3><pre class=" language-cmd"><code class="language-cmd">adb</summary>
</entry>
<entry>
<title>BP神经网络</title>
<link href="https://axieyun.top/posts/4cf.html"/>
<id>https://axieyun.top/posts/4cf.html</id>
<published>2022-07-10T06:38:05.000Z</published>
<updated>2022-07-13T12:48:13.637Z</updated>
<summary type="html"><h2 id="单层BP神经网络"><a href="#单层BP神经网络" class="headerlink" title="单层BP神经网络"></a>单层BP神经网络</h2><h3 id="概念"><a href="#概念" class="headerlink"</summary>
</entry>
<entry>
<title>数据的正态分布检验</title>
<link href="https://axieyun.top/posts/a048.html"/>
<id>https://axieyun.top/posts/a048.html</id>
<published>2022-07-04T11:06:04.000Z</published>
<updated>2022-07-04T11:15:55.297Z</updated>
<summary type="html"><h2 id="图检验"><a href="#图检验" class="headerlink" title="图检验"></a>图检验</h2><h3 id="Q-Q图"><a href="#Q-Q图" class="headerlink"</summary>
</entry>
<entry>
<title>判断变量之间的相关性</title>
<link href="https://axieyun.top/posts/b06c.html"/>
<id>https://axieyun.top/posts/b06c.html</id>
<published>2022-07-04T09:16:51.000Z</published>
<updated>2022-07-04T11:36:04.527Z</updated>
<summary type="html"><h3 id="皮尔逊（Pearson）相关系数（就是相关系数）"><a href="#皮尔逊（Pearson）相关系数（就是相关系数）" class="headerlink"</summary>
</entry>
<entry>
<title>conda使用</title>
<link href="https://axieyun.top/posts/d6d0.html"/>
<id>https://axieyun.top/posts/d6d0.html</id>
<published>2022-06-18T03:19:52.000Z</published>
<updated>2022-06-18T06:54:45.223Z</updated>
<summary type="html"><ul>
<li><p>查看源</p>
<pre class=" language-bash"><code class="language-bash">conda config</summary>
</entry>
<entry>
<title>matlab函数总结</title>
<link href="https://axieyun.top/posts/b5d8.html"/>
<id>https://axieyun.top/posts/b5d8.html</id>
<published>2022-06-14T05:57:20.000Z</published>
<updated>2022-06-14T07:46:53.090Z</updated>
<summary type="html"><p><em>这是不是你😜😜😜</em></p>
<p><img</summary>
</entry>
<entry>
<title>bubbleSort</title>
<link href="https://axieyun.top/posts/6b7c.html"/>
<id>https://axieyun.top/posts/6b7c.html</id>
<published>2022-06-09T05:53:35.000Z</published>
<updated>2022-06-09T07:11:23.550Z</updated>
<summary type="html"><h2 id="冒泡排序"><a href="#冒泡排序" class="headerlink" title="冒泡排序"></a>冒泡排序</h2><h3 id="思想"><a href="#思想" class="headerlink"</summary>
</entry>
<entry>
<title>quickSort</title>
<link href="https://axieyun.top/posts/cb7f.html"/>
<id>https://axieyun.top/posts/cb7f.html</id>
<published>2022-06-09T05:36:53.000Z</published>
<updated>2022-06-09T05:51:23.617Z</updated>
<summary type="html"><h2 id="快速排序"><a href="#快速排序" class="headerlink" title="快速排序"></a>快速排序</h2><h3 id="定义"><a href="#定义" class="headerlink"</summary>
</entry>
<entry>
<title>灰色预测模型</title>
<link href="https://axieyun.top/posts/abb4.html"/>
<id>https://axieyun.top/posts/abb4.html</id>
<published>2022-06-08T05:31:54.000Z</published>
<updated>2022-06-08T13:08:15.877Z</updated>
<summary type="html"><p><strong>简介</strong></p>
<ul>
<li>灰色预测的主要特点是模型使用的不是<strong>原始数据序列</strong>，而是生成的数据序列。</li>
<li>其核心体系是灰色模型（Grey Model，</summary>
</entry>
<entry>
<title>CLARA</title>
<link href="https://axieyun.top/posts/1bfe.html"/>
<id>https://axieyun.top/posts/1bfe.html</id>
<published>2022-06-08T00:47:10.000Z</published>
<updated>2022-06-08T00:47:10.602Z</updated>
</entry>
<entry>
<title>k-medoids</title>
<link href="https://axieyun.top/posts/657a.html"/>
<id>https://axieyun.top/posts/657a.html</id>
<published>2022-06-07T14:28:57.000Z</published>
<updated>2022-06-08T00:45:27.216Z</updated>
<summary type="html"><p><strong>k-medoids又称PAM（</strong>Partitioning Around Medoids<strong>）</strong></p>
<h3 id="优点"><a href="#优点" class="headerlink"</summary>
</entry>
<entry>
<title>EM聚类</title>
<link href="https://axieyun.top/posts/f1d8.html"/>
<id>https://axieyun.top/posts/f1d8.html</id>
<published>2022-06-07T09:06:32.000Z</published>
<updated>2022-06-07T09:06:32.544Z</updated>
</entry>
<entry>
<title>k均值聚类法</title>
<link href="https://axieyun.top/posts/b784.html"/>
<id>https://axieyun.top/posts/b784.html</id>
<published>2022-06-07T09:03:53.000Z</published>
<updated>2022-06-07T14:35:01.394Z</updated>
<summary type="html"><p><strong>基本思想</strong></p>
<ul>
<li>根据给定的==参数<em>k</em>==，先把n个对象粗略分为<em>k</em>类，</li>
<li>然后按照某种最优规则（通常表示为一个准则函数）修改不合理的分类，</li>
<li>直到准则函数</summary>
</entry>
<entry>
<title>聚类分析</title>
<link href="https://axieyun.top/posts/9c90.html"/>
<id>https://axieyun.top/posts/9c90.html</id>
<published>2022-06-07T04:37:54.000Z</published>
<updated>2022-06-08T01:45:54.209Z</updated>
<summary type="html"><p><strong>简介</strong></p>
<ul>
<li>聚类分析又称群分析，是对多个样本（或指标）进行定量分类的一种多元统计分析方法。</li>
<li>系统聚类法：每一步都要计算类的距离，计算量大、占内存</li>
<li><ul>
<li>==Q型聚类==分析</summary>
</entry>
<entry>
<title>二叉查找树</title>
<link href="https://axieyun.top/posts/3798.html"/>
<id>https://axieyun.top/posts/3798.html</id>
<published>2022-06-06T10:27:00.000Z</published>
<updated>2022-06-06T12:50:25.846Z</updated>
<summary type="html"><p><em>数据结构：定义一种数据结构并维护其性质</em></p>
<h4 id="性质"><a href="#性质" class="headerlink"</summary>
</entry>
<entry>
<title>方差分析</title>
<link href="https://axieyun.top/posts/111b.html"/>
<id>https://axieyun.top/posts/111b.html</id>
<published>2022-06-04T07:54:06.000Z</published>
<updated>2022-06-04T08:44:16.167Z</updated>
<summary type="html"><h2 id="方差分析"><a href="#方差分析" class="headerlink" title="方差分析"></a>方差分析</h2><ul>
<li>方差分析(analysis of</summary>
</entry>
<entry>
<title>伽马函数</title>
<link href="https://axieyun.top/posts/9680.html"/>
<id>https://axieyun.top/posts/9680.html</id>
<published>2022-06-04T03:49:19.000Z</published>
<updated>2022-06-04T03:52:59.227Z</updated>
<summary type="html"><h3 id="伽马函数"><a href="#伽马函数" class="headerlink" title="伽马函数"></a>伽马函数</h3><ul>
<li><p>伽马函数也称 tao 函数</p>
</li>
<li><p>卡方分布的概率密度函数和 Γ</summary>
</entry>
<entry>
<title></title>
<link href="https://axieyun.top/posts/0.html"/>
<id>https://axieyun.top/posts/0.html</id>
<published>2022-06-04T03:35:14.959Z</published>
<updated>2022-04-07T05:49:58.493Z</updated>
<summary type="html"><h3 id="语法"><a href="#语法" class="headerlink" title="语法"></a>语法</h3><pre class=" language-bash"><code class="language-bash"><span</summary>
</entry>
</feed>