AN APPROACH FOR EVIDENCE CLUSTERING USING GENERALIZED DISTANCE

• Published in: Journal of electronics (China) Vol. 26; no. 1; pp. 18 - 23
• Main Authors: Ye, Qing, Wu, Xiaoping, Chen, Zemao
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 2009; College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China
• Subjects: DS理论; Electrical Engineering; Engineering; 形心向量; 计算机; Centroid vector; TP311; Dempster-Shafer theory of evidence; Clustering
• ISSN: 0217-9822; 1993-0615
• DOI: 10.1007/s11767-008-0122-8

When evidence comes from multiple events they should be handled independently, and it is unknown to which event a piece of evidence is related. In this paper, the problem of clustering all pieces of evidence is analyzed systematically to separate them into subsets for each event on the basis of considering the describing format of evidence and making full use of the distance of evidence. An approach for evidence clustering using distance of evidence is presented based on the criterion for clustering. In the proposed approach, the method which is used to establish the initialization of clustering is discussed in detail, called an improved optimal distance. And the centroid vector of evidence and the clustering process are developed respectively to obtain the performance of this novel approach. Finally, an illustrative example shows that this approach is feasible and effective.