So, in this rapid miner, saga we k k Duda implement k means clustering. So, you can do something like this he can do the tree the data select attributes and then clustering. So, we can retrieve then select attribute, you can delete these. So, we are doing a K mean So, obviously we are searching for K means so as ampere and cluster K so, the Select attribute I will think is select all M for cluster Rena aircraft, k equal to five max run is 10. So, there is an error here So, I will To do a subset Okay, I'll do something IDs I have to do all these subsets because in this k means clustering we cannot use these species our variable which is a categorical variables. So I create a pri, then I can just run the process, I should have the cluster in here.

Let me see if I can get more result here. Glad you can join to here and run again. So I have a data set and I have a cluster here. So other cluster here.