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Author Topic: How does K-means work in binary variable?  (Read 221 times)
johnny5550822
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« on: March 11, 2014, 02:45:26 AM »

Hi,

I know traditional k-means (distance one) does not work well in binary variable. I installed the weka extension in rapidminer and use the k-means (kernel one); my dataset (medical ) contains all binary variables. Surprisingly, it work well such that when k=2 with dot-kernel, it separate 2 groups of clasuter which one group has almost none of the disease/medication, and another group has at least 2 disease/medication.

Should I use k-means to cluster data with only binary feature in rapidminer?

Thanks!
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