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

User: "csoares"
New Altair Community Member
Updated by Jocelyn
Hi
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 and  best regards,
Carlos

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    User: "TobiasMalbrecht"
    New Altair Community Member
    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,
    Tobias
    User: "csoares"
    New Altair Community Member
    OP
    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?

    Carlos
    User: "csoares"
    New Altair Community Member
    OP
    In case somebody is also looking for the answer for this (which is actually quite simple): operator Extract Cluster Prototypes.

    Carlos