How to analyze similarity of static K-Means Nodes?












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I have performed K-Means(40) clustering on customer product purchases. I am pairing this data with Association Analysis (sometimes called market basket analysis) results to motivate cross-selling opportunities.



Upon inspection, it's clear that some K-Means clusters are similar to one another: Specifically in my case this might mean that one cluster has customers who bought products X and Y, and another sibling cluster grouped customers that bought X, Y, and Z.



I would like to analyze for cluster similarity, so that my inspection is more rigorous and repeatable.










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    $begingroup$


    I have performed K-Means(40) clustering on customer product purchases. I am pairing this data with Association Analysis (sometimes called market basket analysis) results to motivate cross-selling opportunities.



    Upon inspection, it's clear that some K-Means clusters are similar to one another: Specifically in my case this might mean that one cluster has customers who bought products X and Y, and another sibling cluster grouped customers that bought X, Y, and Z.



    I would like to analyze for cluster similarity, so that my inspection is more rigorous and repeatable.










    share|improve this question







    New contributor




    ColinMac is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      I have performed K-Means(40) clustering on customer product purchases. I am pairing this data with Association Analysis (sometimes called market basket analysis) results to motivate cross-selling opportunities.



      Upon inspection, it's clear that some K-Means clusters are similar to one another: Specifically in my case this might mean that one cluster has customers who bought products X and Y, and another sibling cluster grouped customers that bought X, Y, and Z.



      I would like to analyze for cluster similarity, so that my inspection is more rigorous and repeatable.










      share|improve this question







      New contributor




      ColinMac is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I have performed K-Means(40) clustering on customer product purchases. I am pairing this data with Association Analysis (sometimes called market basket analysis) results to motivate cross-selling opportunities.



      Upon inspection, it's clear that some K-Means clusters are similar to one another: Specifically in my case this might mean that one cluster has customers who bought products X and Y, and another sibling cluster grouped customers that bought X, Y, and Z.



      I would like to analyze for cluster similarity, so that my inspection is more rigorous and repeatable.







      k-means market-basket-analysis






      share|improve this question







      New contributor




      ColinMac is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







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      ColinMac is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




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      ColinMac is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 5 hours ago









      ColinMacColinMac

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