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Cluster backetball players based on their performance...
My goal is to cluster them into 3 or more groups based on their performance, like high, average, low performance etc..
The attributes are like positions, ave points, steals, mistakes, blocks, running distance etc....
It probably will be some analysis to do with k-means I guess. But I don't think I will need all attributes to do the clustering. And the other task is to find out which few attributes can be used to split the players.
I am still very new to RapidMiner. And thanks for all the help from you guys.
If anyone can point me the direction to achieve it, that will be great. And I am open to any extensions.