This article is cited in 1 paper

IMAGE PROCESSING, PATTERN RECOGNITION

Application of metaheuristics to k-means clustering

A. V. Lisin, R. T. Faizullin

Omsk State Technical University, Omsk, Russia

Abstract: 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.

Keywords: clustering, k-means, image processing, continuous optimization.

Received: 04.05.2015
Revised: 10.06.2015

DOI: 10.18287/0134-2452-2015-39-3-406-412