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    <title>topic Text Clustering - Decent Empirical Way to Decide Number of Dimensions in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Text-Clustering-Decent-Empirical-Way-to-Decide-Number-of/m-p/215418#M9484</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have some heuristics I have developed over the years working with cluster analyses. I typically like to experiment with more and work my way back. I also like my SVD Resolution to be high.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;But, what is a decent recommended approach to figuring the Maximum SVD Dimensions?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For example, in my trial run I am seeing around 5 - 7 clusters. Is there a rule to generally follow in choosing the Max No. of Dimensions? What if I go even much higher to a dozen+ clusters?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 02 Apr 2015 20:46:18 GMT</pubDate>
    <dc:creator>Zachary</dc:creator>
    <dc:date>2015-04-02T20:46:18Z</dc:date>
    <item>
      <title>Text Clustering - Decent Empirical Way to Decide Number of Dimensions</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Text-Clustering-Decent-Empirical-Way-to-Decide-Number-of/m-p/215418#M9484</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have some heuristics I have developed over the years working with cluster analyses. I typically like to experiment with more and work my way back. I also like my SVD Resolution to be high.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;But, what is a decent recommended approach to figuring the Maximum SVD Dimensions?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For example, in my trial run I am seeing around 5 - 7 clusters. Is there a rule to generally follow in choosing the Max No. of Dimensions? What if I go even much higher to a dozen+ clusters?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 02 Apr 2015 20:46:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Text-Clustering-Decent-Empirical-Way-to-Decide-Number-of/m-p/215418#M9484</guid>
      <dc:creator>Zachary</dc:creator>
      <dc:date>2015-04-02T20:46:18Z</dc:date>
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