Evaluation of Support Vector Clustering
Muhammed_Fatih_
Member Posts: 93 Maven
Hello Community,
is there a possibility within RapidMiner to (iteratively) evaluate the parameters of Support Vector Clustering (SVC)?
Thank you in advance for your responses!
Best regards!
is there a possibility within RapidMiner to (iteratively) evaluate the parameters of Support Vector Clustering (SVC)?
Thank you in advance for your responses!
Best regards!
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Answers
Harshit
thank you for your answer! I will try it out. In this connection, do you know a performance measure which could be evaluated with SVC?
Thank you in advance for your feedback!
Best regards!
The evaluation of clustering is always a tricky aspect. In most cases, it depends on the problem at hand, the hypothesis behind the clustering and whether we have ground truth available. Having said that, you can check out the performance operators in the segmentation section of RM and see if on of those works for you.
Harshit
Thank you for the hint. Unfortunately, I already looked up in the segmentation section of RM regarding performance operators but I couldn't find an appropriate one especially for Support Vector Clusters. Most of them target centroid based Clustering approaches like e.g. kMeans.
Did you or rather the community use one of them for Support Vector Clustering before?
Thank you in advance for your feedback!
Best regards!