Nuevas técnicas de particionamiento en clasificación automática
保存先:
| 著者: | , , |
|---|---|
| フォーマット: | artículo original |
| 状態: | Versión publicada |
| 出版日付: | 1999 |
| その他の書誌記述: | In this article there are exposed some new thechniques for hte search of global optima inthe partitioning problem in Cluster Analysis. With these thechniques the results are sensibly improved with respect to the traditional methods. The methods developed here are well known in Combinatorial Optimization: i) simulated annealing; ii) tabu search, iii) genetic algorithms. We use these three approaches in the partitioning problem for clustering, following a search xhee similar to that of Regnier's algorithm of transfers. |
| 国: | Portal de Revistas UCR |
| 機関: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| 言語: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/168 |
| オンライン･アクセス: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/168 |
| キーワード: | Clustering stochastic optimization combinatorial optimization heuristics Clasificación optimización estocástica optimización combinatoria heurística |