Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/CF5F6371-5962-430F-9381-10F84BBEB1BB | ||
| Έτος | 2007 | ||
| Τύπος | Περίληψη Δημοσίευσης σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | Y. Marinakis, M. Marinaki, N. Matsatsinis,"A stochastic nature inspired metaheuristic for clustering analysis, "in 22nd European Conference on Operational Research ,2007. | ||
| Εμφανίζεται στις Συλλογές |
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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