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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/CF5F6371-5962-430F-9381-10F84BBEB1BB | - |
| Language | en | - |
| Title | A stochastic nature inspired metaheuristic for clustering analysis | en |
| Creator | Marinakis Ioannis | en |
| Creator | Μαρινακης Ιωαννης | el |
| Creator | Matsatsinis Nikolaos | en |
| Creator | Ματσατσινης Νικολαος | el |
| Creator | Marinaki Magdalini | en |
| Creator | Μαρινακη Μαγδαληνη | el |
| Content Summary | 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. | en |
| Type of Item | Περίληψη Δημοσίευσης σε Συνέδριο | el |
| Type of Item | Conference Paper Abstract | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-06 | - |
| Date of Publication | 2007 | - |
| Subject | GAs (Algorithms) | en |
| Subject | Genetic searches (Algorithms) | en |
| Subject | genetic algorithms | en |
| Subject | gas algorithms | en |
| Subject | genetic searches algorithms | en |
| Bibliographic Citation | Y. Marinakis, M. Marinaki, N. Matsatsinis,"A stochastic nature inspired metaheuristic for clustering analysis, "in 22nd European Conference on Operational Research ,2007. | en |
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