I have a dataset where I need to explore using unsupervised technics (clustering and association rules). What are the best strategies to discretize the numeric attributes? Also, does this (attribute discretization) makes sense for clustering (using K-Means)?
Since I'm using weka, I know that I can just use the Discretize filter, with findNumBins option or useEqualFrequency. But are there other strategies?
Also, does it makes sense to use discretization on the attributes, and then look for clusters (using K-Means) or not? (I suspect that it doesn't make that much sense, but I just want to confirm)