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    <title>topic Re: Clustering Categorical Variables in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167981#M8756</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I wonder if you could get the output from PROC CORRESP, or the necessary internal datasets, and feed those to PROC CLUSTER.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 13 Feb 2015 17:41:30 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2015-02-13T17:41:30Z</dc:date>
    <item>
      <title>Clustering Categorical Variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167979#M8754</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;BR /&gt;Need some tips about how to do clustering for categorical variables.&lt;/P&gt;&lt;P&gt;Any epaper or thoughts are appreciated.&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;_kamal&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 13 Feb 2015 15:35:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167979#M8754</guid>
      <dc:creator>koomalkc</dc:creator>
      <dc:date>2015-02-13T15:35:19Z</dc:date>
    </item>
    <item>
      <title>Re: Clustering Categorical Variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167980#M8755</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;You could use &lt;STRONG&gt;proc distance&lt;/STRONG&gt; and choose a measure appropriate for nominal variables to get a distance matrix. Then use that distance matrix in &lt;STRONG&gt;proc cluster&lt;/STRONG&gt;. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PG&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 13 Feb 2015 16:07:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167980#M8755</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2015-02-13T16:07:01Z</dc:date>
    </item>
    <item>
      <title>Re: Clustering Categorical Variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167981#M8756</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I wonder if you could get the output from PROC CORRESP, or the necessary internal datasets, and feed those to PROC CLUSTER.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 13 Feb 2015 17:41:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167981#M8756</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2015-02-13T17:41:30Z</dc:date>
    </item>
    <item>
      <title>Re: Clustering Categorical Variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167982#M8757</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;STRONG&gt;Proc Corresp&lt;/STRONG&gt; calculates coordinates for the levels of two or more categorical variables based on their crosstabulation. If you fed distances derived from those coordinates to &lt;STRONG&gt;Proc Cluster&lt;/STRONG&gt;, you could cluster together the levels of two or more categorical variables. I never tried doing that.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PG&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 13 Feb 2015 20:52:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167982#M8757</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2015-02-13T20:52:38Z</dc:date>
    </item>
    <item>
      <title>Re: Clustering Categorical Variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167983#M8758</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks guys&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 19 Feb 2015 15:04:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167983#M8758</guid>
      <dc:creator>koomalkc</dc:creator>
      <dc:date>2015-02-19T15:04:53Z</dc:date>
    </item>
    <item>
      <title>Re: Clustering Categorical Variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167984#M8759</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am also having a similar problem. As far as I can see using proc distance first and then apply Proc cluster seems appropriate. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;What about in Miner? How can I do this with FASTCLUS and MODECLUS?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 18 Aug 2015 14:16:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Clustering-Categorical-Variables/m-p/167984#M8759</guid>
      <dc:creator>turanbul</dc:creator>
      <dc:date>2015-08-18T14:16:44Z</dc:date>
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