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Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/91C7E257-A537-4E01-8DEC-41A8451D677B | ||
| Year | 2008 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
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| Bibliographic Citation | Y. Marinakis, M. Marinaki , N. Matsatsinis, " A Stochastic nature inspired metaheuristic for clustering analysis," Inter. J.of Business Intelligence and Data Min., vol.3,no. 1,pp. 30-44, 2008.doi:10.1504/IJBIDM.2008.017974 https://doi.org/ 10.1504/IJBIDM.2008.017974 | ||
| Appears in Collections |
This paper presents a new stochastic nature inspired methodology, which is based on the concepts of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), for optimally clustering N objects into K clusters. Due to the nature of stochastic and population-based search, the proposed algorithm can overcome the drawbacks of traditional clustering methods. Its performance is compared with other popular stochastic/metaheuristic methods like genetic algorithm and Tabu search. The proposed algorithm has been implemented and tested on several datasets with very good results.
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