Application of metaheuristics to k-means clustering

We introduce an approach to image segmentation with a k-means algorithm by reducing the clustering problem to a continuous optimization problem, which is solved by metaheuristics algorithms using a gravitational search algorithm as an example. The approach is substantiated and numerical experiment results are discussed.