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    <title>topic Re: proc distance: Hierarchical clustering  by categorical variable in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/proc-distance-Hierarchical-clustering-by-categorical-variable/m-p/652133#M31322</link>
    <description>&lt;P&gt;How did you achieve the separation by marital status?&lt;/P&gt;</description>
    <pubDate>Mon, 01 Jun 2020 04:25:14 GMT</pubDate>
    <dc:creator>PGStats</dc:creator>
    <dc:date>2020-06-01T04:25:14Z</dc:date>
    <item>
      <title>proc distance: Hierarchical clustering  by categorical variable</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-distance-Hierarchical-clustering-by-categorical-variable/m-p/649965#M31310</link>
      <description>&lt;DIV class="result-shield-container tlid-copy-target"&gt;&lt;SPAN class="tlid-translation translation"&gt;&lt;SPAN&gt;I made a cluster with the average of the variables separated by marital status.&lt;/SPAN&gt; &lt;SPAN&gt;In my data I have information about customers.&lt;/SPAN&gt; &lt;SPAN&gt;For example, I have the average number of contracts, average number of children, average monthly income and median age.&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I'm in doubt if it makes sense to cluster with the average separated by marital status.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/DIV&gt;
&lt;DIV class="result-shield-container tlid-copy-target"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV class="result-shield-container tlid-copy-target"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV class="result-shield-container tlid-copy-target"&gt;I used proc distance method = Euclid and proc cluster method = ward&lt;/DIV&gt;
&lt;DIV class="result-shield-container tlid-copy-target"&gt;&amp;nbsp;&lt;/DIV&gt;</description>
      <pubDate>Sat, 30 May 2020 11:22:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-distance-Hierarchical-clustering-by-categorical-variable/m-p/649965#M31310</guid>
      <dc:creator>al165275</dc:creator>
      <dc:date>2020-05-30T11:22:23Z</dc:date>
    </item>
    <item>
      <title>Re: proc distance: Hierarchical clustering  by categorical variable</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-distance-Hierarchical-clustering-by-categorical-variable/m-p/651959#M31311</link>
      <description>&lt;P&gt;Re-titled, and moved to stat procedures.&lt;/P&gt;</description>
      <pubDate>Sat, 30 May 2020 11:23:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-distance-Hierarchical-clustering-by-categorical-variable/m-p/651959#M31311</guid>
      <dc:creator>ChrisNZ</dc:creator>
      <dc:date>2020-05-30T11:23:36Z</dc:date>
    </item>
    <item>
      <title>Re: proc distance: Hierarchical clustering  by categorical variable</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-distance-Hierarchical-clustering-by-categorical-variable/m-p/652133#M31322</link>
      <description>&lt;P&gt;How did you achieve the separation by marital status?&lt;/P&gt;</description>
      <pubDate>Mon, 01 Jun 2020 04:25:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-distance-Hierarchical-clustering-by-categorical-variable/m-p/652133#M31322</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2020-06-01T04:25:14Z</dc:date>
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