Question: matrix computations(data-intensive algorithms) with maple



I am trying to implement some data-intensive algorithms like: comuting similarity scores, clustering etc. How efficient Maple is in doing these operations? I mean is it comparable to MATLAB in these operations? What toolboxes are useful in these? I am trying to build a recommender system.


I am using Maple18 and not sure if Maple has any advantage in implementing these type of algorithms over MATALB??




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