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    <title>topic Re: Clustering in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Clustering/m-p/356675#M274154</link>
    <description>&lt;P&gt;FASTCLUS allows you to 'score' new observations without re-defining the clusters, otherwise, no, if you re-run the clusters you can't be guaranteed the clusters have the same properties.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://phillippeng.wordpress.com/2008/10/06/scoring-observations-using-proc-fastclus/" target="_blank"&gt;https://phillippeng.wordpress.com/2008/10/06/scoring-observations-using-proc-fastclus/&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Sun, 07 May 2017 01:49:49 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2017-05-07T01:49:49Z</dc:date>
    <item>
      <title>Clustering</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Clustering/m-p/356670#M274153</link>
      <description>&lt;P&gt;Hello.. if i use proc cluster or proc fastclu.. can I replicate the properties of each cluster in a different time period. For example, 6 clusters are created based on 2016 customer activity. Cluster 1 is high value, high frequency of usage (RFM model). If I rerun the cluster based on 2015 data will Cluster 1 still be high value, high freq...?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Are their alternatives to Proc cluster etc which could help retain the same properties? For context, I'm trying to segment a population of 1 million customers based on RFM (recent, frequent, monetary value).&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any help is appreciated. thank you!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 07 May 2017 01:13:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Clustering/m-p/356670#M274153</guid>
      <dc:creator>pacinoxl1212</dc:creator>
      <dc:date>2017-05-07T01:13:13Z</dc:date>
    </item>
    <item>
      <title>Re: Clustering</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Clustering/m-p/356675#M274154</link>
      <description>&lt;P&gt;FASTCLUS allows you to 'score' new observations without re-defining the clusters, otherwise, no, if you re-run the clusters you can't be guaranteed the clusters have the same properties.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://phillippeng.wordpress.com/2008/10/06/scoring-observations-using-proc-fastclus/" target="_blank"&gt;https://phillippeng.wordpress.com/2008/10/06/scoring-observations-using-proc-fastclus/&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 07 May 2017 01:49:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Clustering/m-p/356675#M274154</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2017-05-07T01:49:49Z</dc:date>
    </item>
    <item>
      <title>Re: Clustering</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Clustering/m-p/356677#M274155</link>
      <description>&lt;P&gt;Thanks Reeza.. Is there another procedure which could retain the properties?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 07 May 2017 02:00:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Clustering/m-p/356677#M274155</guid>
      <dc:creator>pacinoxl1212</dc:creator>
      <dc:date>2017-05-07T02:00:27Z</dc:date>
    </item>
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