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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244634
