DocumentCode
2676015
Title
Uncertain information clustering based on distance between BPAs
Author
Li, Ya ; Zhang, Yajuan ; Wei, Daijun ; Deng, Yong
Author_Institution
Sch. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
fYear
2012
fDate
23-25 May 2012
Firstpage
3985
Lastpage
3988
Abstract
It is necessary to cluster the information according to their sources when analyzing multi-source information. In this paper, a new evidential clustering method is proposed. In the proposed method, pairwise distance between BPAs have been introduced to form a matrix for clustering. The clustering method is based on vector which is transformed from distance matrix. Illustrative example with several sets demonstrate the validity of the proposed method as compared to other methods.
Keywords
case-based reasoning; matrix algebra; pattern clustering; probability; uncertainty handling; BPA; Dempster-Shafer theory; basic probability assignments; distance matrix; evidential clustering method; multisource information; pairwise distance; uncertain information clustering; Clustering algorithms; Computers; Educational institutions; Measurement; Sensors; Symmetric matrices; Vectors; Clustering; Dempster-Shafer theory; Distance between BPAs;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244634
Filename
6244634
Link To Document