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<!DOCTYPE HTML>
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<title>乔伊橙C的部落格</title>
<meta name="author" content="JoeyChan">
<meta name="description" content="在数据分析和数据挖掘的过程中,我们经常需要知道个体间差异的大小,进而评价个体的相似性和类别。最常见的是数据分析中的相关分析,数据挖掘中的分类和聚类算法,如K最近邻(KNN)和K均值(K-Means)。当然衡量个体差异的方法有很多,最近查阅了相关的资料,这里整理罗列下。 为了方便下面的解释和举例, …">
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<a href="/blog/2013/11/12/distance-and-similarity/">
距离和相似度</a>
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<div class="entry-content">
<p>在数据分析和数据挖掘的过程中,我们经常需要知道个体间差异的大小,进而评价个体的相似性和类别。最常见的是数据分析中的相关分析,数据挖掘中的分类和聚类算法,如K最近邻(KNN)和K均值(K-Means)。当然衡量个体差异的方法有很多,最近查阅了相关的资料,这里整理罗列下。</p>
<p>为了方便下面的解释和举例,先设定我们要比较X个体和Y个体间的差异,它们都包含了N个维的特征,即X=(x1, x2, x3, … xn),Y=(y1, y2, y3, … yn)。下面来看看主要可以用哪些方法来衡量两者的差异,主要分为距离度量和相似度度量。</p>
<a href="/blog/2013/11/12/distance-and-similarity/" class="more-link">阅读全文→</a>
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<time datetime="2013-11-12T22:41:00+08:00" pubdate data-updated="true">Nov 12<span>th</span>, 2013</time></div>
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<a class='category' href='/blog/categories/ji-qi-xue-xi/'>机器学习</a>
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Hello World</a>
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<p>Hello,my friends.I am <strong>JoeyChan</strong>,</p>
<p>This is my blog on Github. Welcome to here. Glad to be your friend!</p>
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<time datetime="2013-10-24T23:02:00+08:00" pubdate data-updated="true">Oct 24<span>th</span>, 2013</time></div>
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