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I calculate the TFIdf(term frequency,inverse document frequency) and i have seen that after this step it is necessary to reduce the dimension of My Matrix with using methods like LSI ,chi -square test…,
I haven’t any idea how i can implement chi square test in java for dimensionality reduction of matrix TFIDF,if there is some library to do this or tutorial in which they explain how i can do this, tell me please
I don’t think you want to do chi-square; that’s not a technique for dimension reduction.
What you want to do is SVD, or singular value decomposition. That is the technique used in LSI/LSA for dimensionality reduction.
Wikipedia suggests using a library called ‘S-Space Pacakage’ for LSA in Java. I haven’t used it myself, but you may want to look into it.
http://code.google.com/p/airhead-research/