interpretation of centroid table/plot view when using mixed distance function

csoarescsoares Member Posts: 13 Contributor II
edited November 2018 in Help
When using kmedoids with a mixed distance function, how to interpret the centroids for the nominal variables? Is it some kind of mean distance?
Thanks andΒ  best regards,


  • TobiasMalbrechtTobiasMalbrecht Moderator, Employee, Member Posts: 294 RM Product Management
    Hi Carlos,

    well the nominal distance between equal values is zero - between differing values it is one. Hence for the nominal variables, the centroid is that point, that is the most equal to the other points - which has the most matches among the nominal variables.

    Best regards,
  • csoarescsoares Member Posts: 13 Contributor II
    Thanks, Tobias.

    But the centroid table is coding the polynomial variables into numbers (which probably represent the indices of the corresponding value).

    Is there a way to convert them automatically back to the original (polynomail) values, to make the centroids easier to read?

  • csoarescsoares Member Posts: 13 Contributor II
    In case somebody is also looking for the answer for this (which is actually quite simple): operator Extract Cluster Prototypes.

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