A new method for the characterization of clusters
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| Auteurs: | , , |
|---|---|
| Format: | artículo original |
| Statut: | Versión publicada |
| Date de publication: | 2007 |
| Description: | This new method for characterizing clusters is based on the simulation of a diffusionlike process. A resolution-parameter—R—is introduced such that when assigned successive values from an increasing sequence, it is possible to detect the following:(a) a unique cluster which can be visualized as an object with no internal structure; (b) a set of n first-order subclusters—given they exist—which are constituents of the cluster mentioned in (a); (c) n sets of second-order subclusters—each of which are constituents of one of the first-order subclusters mentioned in (b)—and so on, successively. Convexity is not required either for the cluster mentioned in (a) or for the subclusters of different orders. Although in this paper the method presented is applied to bidimensional objects, it may be generalized for the n-dimensional case. |
| Pays: | Portal de Revistas UCR |
| Institution: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Langue: | Inglés |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/39305 |
| Accès en ligne: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/39305 |
| Mots-clés: | characterization of clusters diffusion process resolution-parameter Caracterización de “clusters” proceso de difusión parámetro de resolución |