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math.OC2017
Improved Conic Reformulations for K-means Clustering
Madhushini Narayana Prasad, Grani A. Hanasusanto
In this paper, we show that the popular K-means clustering problem can equivalently be reformulated as a conic program of polynomial size. The arising convex optimization problem i…
math.OC2017
Robust Quadratic Programming with Mixed-Integer Uncertainty
Areesh Mittal, Can Gokalp, Grani A. Hanasusanto
We study robust convex quadratic programs where the uncertain problem parameters can contain both continuous and integer components. Under the natural boundedness assumption on the…