Application of metaheuristics to k-means clustering
A.V. Lisin, R.T. Faizullin

 

Omsk State Technical University, Omsk, Russia

Full text of article: Russian language.

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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.

Citation:
Lisin AV, Faizullin RT. Application of methaheuristics to k-means clustering. Computer Optics 2015; 39(3): 405-12. DOI: 10.18287/0134-2452-2015-39-3-406-412.

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