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data-miningclassificationweighting

classifying a weighted feature vector

I want to give weights to features of a data set before using the feature in any classification algorithm like KNN or J48, but i don't know how to evaluate a weighted feature vector.
dose any of the classification algorithms accept weights as input instead of just '0' and '1'?
especially, is any of Weka's ready classification functions capable of working with weights (not 0 and 1 as filters)?

Solution

  • In most situations, you can just scale the data set according to your weights. This is trivial to prove for Minkowski distances such as Euclidean distance.