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    <title>topic Re: PCA using K-mean in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187935#M9795</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I meant PCA using K-mean as both the algorithm are based on similar principals. I found it here &lt;BR /&gt;&lt;A href="http://http://epubs.siam.org/doi/pdf/10.1137/1.9781611972740.54"&gt;http://http://epubs.siam.org/doi/pdf/10.1137/1.9781611972740.54&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;Thank you for sharing. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Sun, 18 Jan 2015 07:02:55 GMT</pubDate>
    <dc:creator>Asudipta</dc:creator>
    <dc:date>2015-01-18T07:02:55Z</dc:date>
    <item>
      <title>PCA using K-mean</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187933#M9793</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello everyone, Can you please suggest how to use PCA using K means in SAS? Are there separate procedures for the classifier, evaluation, and optimization of this algorithm?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 18 Jan 2015 02:39:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187933#M9793</guid>
      <dc:creator>Asudipta</dc:creator>
      <dc:date>2015-01-18T02:39:28Z</dc:date>
    </item>
    <item>
      <title>Re: PCA using K-mean</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187934#M9794</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;You seem to be asking about &lt;EM&gt;discriminant analysis&lt;/EM&gt;, not &lt;EM&gt;principal component analysis&lt;/EM&gt;... For k-nearest-neighbors based discrimination, look at &lt;STRONG&gt;proc discrim&lt;/STRONG&gt; with option &lt;STRONG&gt;method=npar&lt;/STRONG&gt;. For variable selection, there is &lt;STRONG&gt;proc stepdisc&lt;/STRONG&gt; but it doesn't offer non-parametric discrimination.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PG&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 18 Jan 2015 03:28:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187934#M9794</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2015-01-18T03:28:59Z</dc:date>
    </item>
    <item>
      <title>Re: PCA using K-mean</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187935#M9795</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I meant PCA using K-mean as both the algorithm are based on similar principals. I found it here &lt;BR /&gt;&lt;A href="http://http://epubs.siam.org/doi/pdf/10.1137/1.9781611972740.54"&gt;http://http://epubs.siam.org/doi/pdf/10.1137/1.9781611972740.54&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;Thank you for sharing. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 18 Jan 2015 07:02:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187935#M9795</guid>
      <dc:creator>Asudipta</dc:creator>
      <dc:date>2015-01-18T07:02:55Z</dc:date>
    </item>
    <item>
      <title>Re: PCA using K-mean</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187936#M9796</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Which of the three &lt;EM&gt;experiments&lt;/EM&gt; described in that paper do you wish to implement? - PG&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 18 Jan 2015 22:25:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187936#M9796</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2015-01-18T22:25:35Z</dc:date>
    </item>
    <item>
      <title>Re: PCA using K-mean</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187937#M9797</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;How is that a concern? I was trying to reiterate the fact that it was PCA and not DA. Can we come back to the original question now?Do you have an example to implement PCA using Kmeans? Thank you&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 19 Jan 2015 01:54:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187937#M9797</guid>
      <dc:creator>Asudipta</dc:creator>
      <dc:date>2015-01-19T01:54:45Z</dc:date>
    </item>
    <item>
      <title>Re: PCA using K-mean</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187938#M9798</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think you need a combination of proc cluster and proc princomp.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 19 Jan 2015 04:44:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PCA-using-K-mean/m-p/187938#M9798</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2015-01-19T04:44:58Z</dc:date>
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