Clustering via Concave Minimization

Bradley, Paul S., Mangasarian, Olvi L., Street, W. Nick

Neural Information Processing Systems 

If a polyhedral distance is used, the problem can be formulated as that of minimizing a piecewise-linear concave function on a polyhedral set which is shown to be equivalent to a bilinear program: minimizing a bilinear function on a polyhedral set.A fast finite k-Median Algorithm consisting of solving few linear programs in closed form leads to a stationary point of the bilinear program.

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