A robust algorithm for solution of the fuzzy clustering problem on the basis of the fuzzy joint points method |
| |
| Authors: | E. N. Nasibov |
| |
| Affiliation: | (1) Cybernetics Institute of ANAS, Baku, Azerbaijan;(2) Dokuz Eylul University, Izmir, Turkey |
| |
| Abstract: | The approach called the method of Fuzzy Joint Points (FJP) is considered in which the fuzziness of clusterization lies in the detailedness of taking into account properties of elements in forming sets of similar elements. Based on this approach, a new robust variant of the FJP algorithm is proposed. The properties of this FJP algorithm are analyzed and a sufficient condition for the correct recognition of the hidden structure of clusters is proved. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 1, pp. 10–22, January–February 2008. |
| |
| Keywords: | clustering fuzzy joint points (FJP) fuzzy joint set robustness |
| 本文献已被 SpringerLink 等数据库收录！ |
|
