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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
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.
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