<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: k mean cluster vs proc rank in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/k-mean-cluster-vs-proc-rank/m-p/482466#M124973</link>
    <description>&lt;P&gt;I won't comment on k-means clustering method, but ...&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;OL&gt;
&lt;LI&gt;proc rank cares about order, but not distance, however distance is defined.&amp;nbsp;&amp;nbsp;And of course this is associated with only permitting equal-size groups.&lt;BR /&gt;&lt;BR /&gt;&lt;/LI&gt;
&lt;LI&gt;proc rank doesn't do multi-dimensional "clustering", however defined.&amp;nbsp; I presume the clustering method does do multi-dimensional.&lt;/LI&gt;
&lt;/OL&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 30 Jul 2018 13:51:25 GMT</pubDate>
    <dc:creator>mkeintz</dc:creator>
    <dc:date>2018-07-30T13:51:25Z</dc:date>
    <item>
      <title>k mean cluster vs proc rank</title>
      <link>https://communities.sas.com/t5/SAS-Programming/k-mean-cluster-vs-proc-rank/m-p/482437#M124961</link>
      <description>&lt;P&gt;Hi guys,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If I use proc rank with grouping function, what is the different between this method and the k mean clustering method?&lt;/P&gt;&lt;P&gt;Actually i do not see any other differentiation only that with using proc rank (with group) the procedure wants to divide the groups in equal part...&lt;BR /&gt;&lt;BR /&gt;Thanks your answer,&lt;/P&gt;&lt;P&gt;Steve&lt;/P&gt;</description>
      <pubDate>Mon, 30 Jul 2018 12:11:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/k-mean-cluster-vs-proc-rank/m-p/482437#M124961</guid>
      <dc:creator>monster90</dc:creator>
      <dc:date>2018-07-30T12:11:15Z</dc:date>
    </item>
    <item>
      <title>Re: k mean cluster vs proc rank</title>
      <link>https://communities.sas.com/t5/SAS-Programming/k-mean-cluster-vs-proc-rank/m-p/482466#M124973</link>
      <description>&lt;P&gt;I won't comment on k-means clustering method, but ...&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;OL&gt;
&lt;LI&gt;proc rank cares about order, but not distance, however distance is defined.&amp;nbsp;&amp;nbsp;And of course this is associated with only permitting equal-size groups.&lt;BR /&gt;&lt;BR /&gt;&lt;/LI&gt;
&lt;LI&gt;proc rank doesn't do multi-dimensional "clustering", however defined.&amp;nbsp; I presume the clustering method does do multi-dimensional.&lt;/LI&gt;
&lt;/OL&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 30 Jul 2018 13:51:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/k-mean-cluster-vs-proc-rank/m-p/482466#M124973</guid>
      <dc:creator>mkeintz</dc:creator>
      <dc:date>2018-07-30T13:51:25Z</dc:date>
    </item>
    <item>
      <title>Re: k mean cluster vs proc rank</title>
      <link>https://communities.sas.com/t5/SAS-Programming/k-mean-cluster-vs-proc-rank/m-p/482471#M124976</link>
      <description>&lt;P&gt;PROC RANK computes ranks on individual variables.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;K-mean clusters finds groupings of observations in your data set using multiple variables.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;These don't do the same things.&lt;/P&gt;</description>
      <pubDate>Mon, 30 Jul 2018 14:14:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/k-mean-cluster-vs-proc-rank/m-p/482471#M124976</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2018-07-30T14:14:59Z</dc:date>
    </item>
  </channel>
</rss>

