Uncertain information clustering based on distance between BPAs
Ya Li, Yajuan Zhang, Daijun Wei, Yong Sheng Deng · 2012
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.