Combine performance vectors for k-means clustering
Hi,
I want to combine two PerformanceVectors (centroid distances from "Performance (Cluster Distance Performance)" and the cluster count from Performance (Cluster Count Performance)) for determining the optimal k parameter for k-means clustering by using the "Optimize Parameters" operator. Unfortunately the "Performance (Combine Performance)" operator can only combine performances from a single PerformanceVector as input.
Is there another possibility to combine these two measures into a single one?
I want to combine two PerformanceVectors (centroid distances from "Performance (Cluster Distance Performance)" and the cluster count from Performance (Cluster Count Performance)) for determining the optimal k parameter for k-means clustering by using the "Optimize Parameters" operator. Unfortunately the "Performance (Combine Performance)" operator can only combine performances from a single PerformanceVector as input.
Is there another possibility to combine these two measures into a single one?
Find more posts tagged with
Sort by:
1 - 2 of
21
Thanks for your answer. It's a pity that there is no easier solution using both performance vectors.
One way is to use the Log operator to write the values to the log. You can then convert that to an example set and do what you like.
There are some examples here...
http://rapidminernotes.blogspot.co.uk/search/label/ClusterValidity
Have fun
regards
Andrew