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Imagine we have a special and fixed similarity function to calculate pairwise similarities between each pair of data points. We have sparse data. so the similarity matrix would be sparse as...
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The problem is is here: f(x): A convex function of x g(x): A convex function of x The goal is : Min alpha*f(x)+beta*g(x)-gamma*f(x) with no constraint.
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