i tried using optimize parameter grid module for K Means but its not working. I dont know how to use it properly. i searched online but all i can find is for clasification algorithm.
Yes. RapidMiner's Optimize Parameter operators are primarily meant for supervised learning methods (classification and regression).
Optimize Parameters expects a "performance vector". Usually this is coming from a cross-validation inside the optimization. But any operator that returns performances can be used.
Please check out the processes in the Samples repository, processes/07_Clustering. Processes 08 and 09 show the usage of the Cluster Distance Performance operator.
This operator will deliver the necessary metric in your Optimize Parameters.
Yes. RapidMiner's Optimize Parameter operators are primarily meant for supervised learning methods (classification and regression).
Optimize Parameters expects a "performance vector". Usually this is coming from a cross-validation inside the optimization. But any operator that returns performances can be used.
Please check out the processes in the Samples repository, processes/07_Clustering.
Processes 08 and 09 show the usage of the Cluster Distance Performance operator.
This operator will deliver the necessary metric in your Optimize Parameters.
Regards,
Balázs