0000000000805767

AUTHOR

Diana Dolicanin-djekic

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Combined Elephant Herding Optimization Algorithm with K-means for Data Clustering

2018

Clustering is an important task in machine learning and data mining. Due to various applications that use clustering, numerous clustering methods were proposed. One well-known, simple, and widely used clustering algorithm is k-means. The main problem of this algorithm is its tendency of getting trapped into local minimum because it does not have any kind of global search. Clustering is a hard optimization problem, and swarm intelligence stochastic optimization algorithms are proved to be successful for such tasks. In this paper, we propose recent swarm intelligence elephant herding optimization algorithm for data clustering. Local search of the elephant herding optimization algorithm was im…

Optimization problemComputer sciencebusiness.industryk-means clustering020206 networking & telecommunications02 engineering and technologycomputer.software_genreSwarm intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingStochastic optimizationLocal search (optimization)Data miningHerdingbusinessCluster analysiscomputerMetaheuristic
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