Summary
2007 International Symposium on Nonlinear Theory and its Applications
2007
Session Number:18PM2-B
Session:
Number:18PM2-B-1
Clustering Algorithms Based on Tolerance Vector Concept
ENDO Yasunori, HASEGAWA Yasushi, HAMASUNA Yukihiro,
pp.276-279
Publication Date:2007/9/16
Online ISSN:2188-5079
DOI:10.34385/proc.41.18PM2-B-1
Summary:
This paper provides new clustering algorithms for data with tolerance. Tolerance includes wide meanings, e.g., calculation errors and loss of attribute of data. The tolerance is modi?ed using by new concept of tolerance vector. First, the concept is explained and optimization problems of clustering are formulated using the vectors. Second, the problems are solved using some different ways. Third, the new clustering algorithms are constructed by using the solutions of the problems. Moreover, the e?ectiveness of proposed algorithms is veri?ed through some numerical examples.