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What is the difference between the data that has multiple columns and you want to use only one of them, and the data that has only one column? In both of the cases, I don't see any particular reason to use K means instead of just a simple histogram.
Yes this reduction is done for purpose I want to increase the training time. After I obtain the best parameters values I crossvalidate (using 10 folds) with all of available data.