Keerthi Walgama

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Often high dimensional data cause problems for currently used learning algorithms in terms of efficiency and effectiveness. One solution for this problem is to apply dimensionality reduction by which the original feature set could be reduced to a small number of features while gaining improved accuracy and/or efficiency of the learning algorithm. We have(More)
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