SACO: un algoritmo de clustering espacial con hormigas inteligentes
Bio-inspired algorithms have received much attention in recent years, because they allow to discover, quickly and efficiently, knowledge and patterns in large databases. In this work, a new algorithm based on the behaviour of ant colonies to discover clusters in spatial databases is presented. The a...
Guardado en:
| Autores principales: | , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Español |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/56976 http://45jaiio.sadio.org.ar/sites/default/files/ASAI-09_0.pdf |
| Aporte de: |
| Sumario: | Bio-inspired algorithms have received much attention in recent years, because they allow to discover, quickly and efficiently, knowledge and patterns in large databases. In this work, a new algorithm based on the behaviour of ant colonies to discover clusters in spatial databases is presented. The algorithm proposed was evaluated using several well-known test instances and compared its performance considering other proposals from the literature. |
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