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    <title>topic General number of components in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/General-number-of-components/m-p/700419#M33783</link>
    <description>&lt;P&gt;First, I have five variables used for analysis. How to compute a general number of components analysis in proc fmm which comprises of these five variables?&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 20 Nov 2020 09:58:42 GMT</pubDate>
    <dc:creator>Jess03ng</dc:creator>
    <dc:date>2020-11-20T09:58:42Z</dc:date>
    <item>
      <title>General number of components</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/General-number-of-components/m-p/700419#M33783</link>
      <description>&lt;P&gt;First, I have five variables used for analysis. How to compute a general number of components analysis in proc fmm which comprises of these five variables?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 20 Nov 2020 09:58:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/General-number-of-components/m-p/700419#M33783</guid>
      <dc:creator>Jess03ng</dc:creator>
      <dc:date>2020-11-20T09:58:42Z</dc:date>
    </item>
    <item>
      <title>Re: General number of components</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/General-number-of-components/m-p/700596#M33793</link>
      <description>&lt;P&gt;From the proc fmm doc.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;Basic Features

The FMM procedure estimates the parameters in &lt;U&gt;univariate&lt;/U&gt; finite mixture models and produces various statistics to evaluate parameters and model fit.&lt;/PRE&gt;
&lt;P&gt;Maybe you are looking for &lt;A href="https://documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_introclus_sect001.htm&amp;amp;docsetVersion=15.2&amp;amp;locale=en" target="_self"&gt;clustering procedures&lt;/A&gt;?&lt;/P&gt;
&lt;P&gt;If you are trying to estimate the number of clusters in your data, read &lt;A href="https://documentation.sas.com/?cdcId=pgmsascdc&amp;amp;cdcVersion=9.4_3.3&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_introclus_sect010.htm&amp;amp;locale=en" target="_self"&gt;this discussion&lt;/A&gt; on the topic.&lt;/P&gt;</description>
      <pubDate>Fri, 20 Nov 2020 19:38:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/General-number-of-components/m-p/700596#M33793</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2020-11-20T19:38:23Z</dc:date>
    </item>
    <item>
      <title>Re: General number of components</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/General-number-of-components/m-p/700614#M33794</link>
      <description>&lt;P&gt;To expand PGStats's comment, PROC FMM is a regression procedure in which you model a single response variable (Y) as a finite mixture of distributions that are linear functions of the covariates. It sounds like you want a clustering algorithm for data in 5-dimensional space. If you show sample data and explain more, we can provide more suggestions.&lt;/P&gt;</description>
      <pubDate>Fri, 20 Nov 2020 21:21:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/General-number-of-components/m-p/700614#M33794</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-11-20T21:21:36Z</dc:date>
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