Title :
A kind of practical fuzzy clustering
Author :
Min, YAO Min ; Weihong, WANG Weihong
Author_Institution :
Dept. of Comput., Zhejiang Univ., Hangzhou, China
Abstract :
Fuzzy clustering is one of the most important fuzzy techniques. This paper adopts a relational degree as similarity measurement between objects, and thus forms relational clustering which may find wide applications in social systems and economic systems. At the same time, this paper presents a kind of recomposed fuzzy clustering which can be used to execute the task of partitioning and evaluation for a lot of objects in many systems effectively.
Keywords :
fuzzy logic; pattern clustering; economic systems; fuzzy clustering; fuzzy techniques; object similarity measurement; partitioning; relational clustering; relational degree; social systems; Application software; Clustering algorithms; Demand forecasting; Fuzzy systems; Geologic measurements; Geology; Image recognition; Information processing; Medical diagnosis; Weather forecasting;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021464
