Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Yazdi, Hadi Sadoghi; | GhasemiGol, Mohammad | Effati, Sohrab; | Jiriani, Azam | Monsefi, Reza
Affiliations: Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran | Faculty of Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran | Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran
Note: [] Corresponding author. Hadi Sadoghi Yazdi, Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran. E-mail: h-sadoghi@um.ac.ir
Abstract: This paper presents a new hierarchical tree approach to clustering fuzzy data, namely extensional tree (ET) clustering algorithm. It defines a dendrogram over fuzzy data and using a new distance between fuzzy numbers based on α-cuts. The present work is based on hierarchical clustering algorithm unlike existing methods which improve FCM to support fuzzy data. The Proposed ET clustering algorithm is compared with some of the newly presented methods in the literature. The major advantage of ET, first tree clustering method over fuzzy number, in comparison with other algorithms is its fault tolerance against noisy samples. Some examples prove ability of the proposed ET.
Keywords: Fuzzy data, tree clustering, dissimilarity measure, α-cuts
DOI: 10.3233/IFS-120710
Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 2, pp. 541-550, 2014
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl