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If I use a similarity based algorithm such as pearson correlation score to compare two feature vectors
and I want to know those dimensions/feature fields which are very much dissimilar amongst the feature set then what is the algorithm to be used? I am using Mahout which is a machine learning library for Java
Well, it would just be the dimension in which the two vectors differed most — in which the absolute value of the difference of the vectors’ values in the dimension was largest. Is that really all you mean or are you looking for something subtler?