A new method for the characterization of clusters

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: Skliar, Osvaldo, Oviedo, Guillermo, Monge, Ricardo E.
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2007
Miêu tả: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.
Quốc gia:Portal de Revistas UCR
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Ngôn ngữ:Inglés
OAI Identifier:oai:archivo.portal.ucr.ac.cr:article/39305
Truy cập trực tuyến:https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/39305
Từ khóa:characterization of clusters
diffusion process
resolution-parameter
Caracterización de “clusters”
proceso de difusión
parámetro de resolución