Fuzzy Structural Classification Methods
This paper presents several fuzzy clustering methods based on self-organized similarity (or dissimilarity). Self-organized similarity (or dissimilarity) has been proposed in order to consider not only the similarity (or dissimilarity) between a pair of objects but also the similarity (or dissimilarity) between the classification structures of objects. Depending on how the similarity (or dissimilarity) of the classification structures cope with the fuzzy clustering methods, the results will be different from each other. This paper discusses this difference and shows several numerical examples.
KeywordsFuzzy Cluster Clear Result Landsat Data Fuzzy Cluster Method Dissimilarity Data
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- 1.Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1987)Google Scholar
- 6.Sato-Ilic, M.: Self Organized Fuzzy Clustering. Intelligent Engineering Systems through Artificial Neural Networks 14, 579–584 (2004)Google Scholar
- 7.Sato-Ilic, M., Kuwata, T.: On Fuzzy Clustering based Self-Organized Methods. FUZZ-IEEE 2005, 973–978 (2005)Google Scholar
- 8.Van Hulle, M.M.: Faithful Representations and Topographic Maps -From Distortion to Information based Self-Organization. John Wiley & Sons, Chichester (2000)Google Scholar