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    <title>topic Re: Kmeans Clustering CCC problem in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Kmeans-Clustering-CCC-problem/m-p/37502#M21999</link>
    <description>&lt;P&gt;Just wondering how you solved this problem. Did yo ujust remove that attribute? I am facing the same situation where almost all of my columns have a large number of 0s, but since they are significant for my analysis I want to include them in my analysis.&lt;/P&gt;</description>
    <pubDate>Fri, 24 Mar 2017 22:20:01 GMT</pubDate>
    <dc:creator>chitra</dc:creator>
    <dc:date>2017-03-24T22:20:01Z</dc:date>
    <item>
      <title>Kmeans Clustering CCC problem</title>
      <link>https://community.jmp.com/t5/Discussions/Kmeans-Clustering-CCC-problem/m-p/9933#M9705</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;JMP Kmeans clustering is not calculating a CCC statistic for a subset of my data. I have a data file with a little over 4000 unique sites. Using this data set I have successfully used kmeans clustering and JMP displays a CCC statistic. I created a subset of this data using a variable and now have two new data tables (one with around 200 rows and the other with 4000+). Whenever I go through the same kmeans clustering process on the larger subset of the data JMP will not spit out a CCC statistic. Any ideas about what is going on here?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 20 Oct 2014 19:17:32 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Kmeans-Clustering-CCC-problem/m-p/9933#M9705</guid>
      <dc:creator>jessez</dc:creator>
      <dc:date>2014-10-20T19:17:32Z</dc:date>
    </item>
    <item>
      <title>Re: Kmeans Clustering CCC problem</title>
      <link>https://community.jmp.com/t5/Discussions/Kmeans-Clustering-CCC-problem/m-p/9934#M9706</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;After a couple hours (and you will see they were wasted hours...) of trying to figure this out I caught the problem. One of the variables I used in the clustering process was zero for most of the data set. It turns out that it was zero for all of the rows in the subset I was interested in using Kmeans clustering. The zero values blow up the CCC. Problem solved.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 20 Oct 2014 20:33:01 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Kmeans-Clustering-CCC-problem/m-p/9934#M9706</guid>
      <dc:creator>jessez</dc:creator>
      <dc:date>2014-10-20T20:33:01Z</dc:date>
    </item>
    <item>
      <title>Re: Kmeans Clustering CCC problem</title>
      <link>https://community.jmp.com/t5/Discussions/Kmeans-Clustering-CCC-problem/m-p/37502#M21999</link>
      <description>&lt;P&gt;Just wondering how you solved this problem. Did yo ujust remove that attribute? I am facing the same situation where almost all of my columns have a large number of 0s, but since they are significant for my analysis I want to include them in my analysis.&lt;/P&gt;</description>
      <pubDate>Fri, 24 Mar 2017 22:20:01 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Kmeans-Clustering-CCC-problem/m-p/37502#M21999</guid>
      <dc:creator>chitra</dc:creator>
      <dc:date>2017-03-24T22:20:01Z</dc:date>
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