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    <title>'Least squares method (LS)' Thread RSS Feed</title>
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    <pubDate>Wed, 19 Jun 2013 02:12:47 -0700</pubDate>
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      <title>Least squares method (LS)</title>
      <link>http://www.programmersheaven.com/mb/ctocplusplustomatlab/421744/421744/least-squares-method-ls/</link>
      <description>Hi... i have two classes with 50 vectors each and i need to classify a new vector to one of them...&lt;br /&gt;
&lt;br /&gt;
can somebody give me the simple steps that Least squares method uses....&lt;br /&gt;
&lt;br /&gt;
for example for the k-NN algorithm you need to &lt;br /&gt;
&lt;br /&gt;
1) calculate the Eucleidian distances between the vector you want to classify and the vectors of the two classes&lt;br /&gt;
&lt;br /&gt;
2) take the k shortest distances and classify the new vector depending from witch class the shortest distances came from...&lt;br /&gt;
&lt;br /&gt;
thanks in advance&lt;br /&gt;</description>
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      <pubDate>Mon, 14 Feb 2011 17:58:51 -0700</pubDate>
      <category>Matlab</category>
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    <item>
      <title>Re: Least squares method (LS)</title>
      <link>http://www.programmersheaven.com/mb/ctocplusplustomatlab/421744/421757/re-least-squares-method-ls/#421757</link>
      <description>search "Least squares" in the matlab help.&lt;br /&gt;</description>
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      <pubDate>Tue, 15 Feb 2011 05:13:33 -0700</pubDate>
      <category>Matlab</category>
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