This paper investigates a mathematical programming based methodology for solving the
minimum sum-of-squares clustering problem, also known as the “k-means problem”, in the …

We discuss the application of random projections to conic programming: notably linear,
second-order and semidefinite programs. We prove general approximation results on …

Random projection, a dimensionality reduction technique, has been found useful in recent
years for reducing the size of optimization problems. In this paper, we explore the use of …