A new method for the characterization of clusters

 

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Detaylı Bibliyografya
Yazarlar: Skliar, Osvaldo, Oviedo, Guillermo, Monge, Ricardo E.
Materyal Türü: artículo original
Durum:Versión publicada
Yayın Tarihi:2007
Diğer Bilgiler: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.
Ülke:Portal de Revistas UCR
Kurum:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Dil:Inglés
OAI Identifier:oai:portal.ucr.ac.cr:article/39305
Online Erişim:https://revistas.ucr.ac.cr/index.php/matematica/article/view/39305
Anahtar Kelime:characterization of clusters
diffusion process
resolution-parameter
Caracterización de “clusters”
proceso de difusión
parámetro de resolución