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    <title>topic Re: Clustering Analysis in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Clustering-Analysis/m-p/417221#M6385</link>
    <description>&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;Unfortunately, the Hopkins statistic is not currently produced by any procedure in SAS.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;PROC MODECLUS performs the saddle test and you can use this to test for unimodality. You need to specify the R= and JOIN options in the MODECLUS statement. METHOD=1 is the most commonly used method and you can find the description here under PROC MODECLUS &amp;gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN class="cs37A4F321"&gt;&lt;A class="cs37A4F321" href="http://go.documentation.sas.com/?cdcId=statcdc&amp;amp;cdcVersion=14.2&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_modeclus_details02.htm&amp;amp;locale=en" target="_blank"&gt;&lt;SPAN class="cs126F6168"&gt;Clustering Methods&lt;/SPAN&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;There is an example in the documentation:&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN class="cs37A4F321"&gt;&lt;A class="cs37A4F321" href="http://go.documentation.sas.com/?cdcId=statcdc&amp;amp;cdcVersion=14.2&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_modeclus_examples03.htm&amp;amp;locale=en" target="_blank"&gt;&lt;SPAN class="cs126F6168"&gt;Cluster Analysis with Significance Tests&lt;/SPAN&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;One way to estimate the number of clusters is to run the analysis over a range of values of the smoothing parameter. If you get the same number of clusters over a range of values, then that is a likely indication of the number of clusters. For a more detailed discussion, take a look in the Details section of the MODECLUS chapter, particularly the 'Density Estimation' and 'Significance Tests' sub sections.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;For additional discussion and ideas for determining the number of clusters, see "&lt;/SPAN&gt;&lt;SPAN class="cs37A4F321"&gt;&lt;A class="cs37A4F321" href="http://go.documentation.sas.com/?cdcId=statcdc&amp;amp;cdcVersion=14.2&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_modeclus_examples03.htm&amp;amp;locale=en" target="_blank"&gt;&lt;SPAN class="cs126F6168"&gt;The Number of Clusters&lt;/SPAN&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;SPAN class="csBC719D4E"&gt;".&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;Hope this helps!&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;Doug&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 29 Nov 2017 20:31:02 GMT</pubDate>
    <dc:creator>DougWielenga</dc:creator>
    <dc:date>2017-11-29T20:31:02Z</dc:date>
    <item>
      <title>Clustering Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Clustering-Analysis/m-p/416073#M6353</link>
      <description>&lt;P&gt;Hi All, do you know how to calculate Hopkin Statistic in SAS? Hopkin Statistic tells us whether the dataset has a natural cluster tendency. Thanks in advance &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 24 Nov 2017 19:35:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Clustering-Analysis/m-p/416073#M6353</guid>
      <dc:creator>bbarnali</dc:creator>
      <dc:date>2017-11-24T19:35:38Z</dc:date>
    </item>
    <item>
      <title>Re: Clustering Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Clustering-Analysis/m-p/417221#M6385</link>
      <description>&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;Unfortunately, the Hopkins statistic is not currently produced by any procedure in SAS.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;PROC MODECLUS performs the saddle test and you can use this to test for unimodality. You need to specify the R= and JOIN options in the MODECLUS statement. METHOD=1 is the most commonly used method and you can find the description here under PROC MODECLUS &amp;gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN class="cs37A4F321"&gt;&lt;A class="cs37A4F321" href="http://go.documentation.sas.com/?cdcId=statcdc&amp;amp;cdcVersion=14.2&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_modeclus_details02.htm&amp;amp;locale=en" target="_blank"&gt;&lt;SPAN class="cs126F6168"&gt;Clustering Methods&lt;/SPAN&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;There is an example in the documentation:&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN class="cs37A4F321"&gt;&lt;A class="cs37A4F321" href="http://go.documentation.sas.com/?cdcId=statcdc&amp;amp;cdcVersion=14.2&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_modeclus_examples03.htm&amp;amp;locale=en" target="_blank"&gt;&lt;SPAN class="cs126F6168"&gt;Cluster Analysis with Significance Tests&lt;/SPAN&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;One way to estimate the number of clusters is to run the analysis over a range of values of the smoothing parameter. If you get the same number of clusters over a range of values, then that is a likely indication of the number of clusters. For a more detailed discussion, take a look in the Details section of the MODECLUS chapter, particularly the 'Density Estimation' and 'Significance Tests' sub sections.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;For additional discussion and ideas for determining the number of clusters, see "&lt;/SPAN&gt;&lt;SPAN class="cs37A4F321"&gt;&lt;A class="cs37A4F321" href="http://go.documentation.sas.com/?cdcId=statcdc&amp;amp;cdcVersion=14.2&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_modeclus_examples03.htm&amp;amp;locale=en" target="_blank"&gt;&lt;SPAN class="cs126F6168"&gt;The Number of Clusters&lt;/SPAN&gt;&lt;/A&gt;&lt;/SPAN&gt;&lt;SPAN class="csBC719D4E"&gt;".&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;Hope this helps!&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs80D9435B"&gt;&lt;SPAN class="csBC719D4E"&gt;Doug&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 29 Nov 2017 20:31:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Clustering-Analysis/m-p/417221#M6385</guid>
      <dc:creator>DougWielenga</dc:creator>
      <dc:date>2017-11-29T20:31:02Z</dc:date>
    </item>
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