Fuzzy classification function of entropy regularized fuzzy c-means algorithm for data with tolerance using kernel function

2008 IEEE International Conference on Granular Computing, GRC 2008

Volumn , Issue , 2008, Pages 350-355

  Kanzawa, Yuchi ^a   Endo, Yasunori ^b   Miyamoto, Sadaaki ^b  

^a SHIBAURA INSTITUTE OF TECHNOLOGY   (Japan)

^b UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; COPYING; ENTROPY; FUZZY CLUSTERING; FUZZY SYSTEMS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION;

FUZZY C-MEANS; FUZZY C-MEANS ALGORITHMS; FUZZY CLASSIFICATIONS; ITERATIVE ALGORITHMS; KERNEL FUNCTIONS; NUMERICAL EXAMPLES; OBJECTIVE FUNCTIONS; OPTIMIZATION PROBLEMS;

FUNCTIONS;

EID: 57949109596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GRC.2008.4664765     Document Type: Conference Paper

References (6)

1. Bezdek, J. P.: Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, New York (1981).
2. Miyamoto, S. and Umayahara, K.: "Methods in Hard and Fuzzy Clustering", in: Liu, Z.-Q. and Miyamoto, S. (eds), Soft computing and human-centered machines, Springer-Verlag Tokyo, (2000).
3. Murata, R., Endo, Y., Haruyama, H. and Miyamoto, S.: "On fuzzy c-means for data with tolerance", J. Advanced Computational Intelligence and Intelligent Informatics, vol.10, no.5, pp.673-681, 2006.
4. Miyamoto, S. and Suizu, D.: "Fuzzy c-Means Clustering Using Kernel Functions in Support Vector Machines", J. Advanced Computational Intelligence and Intelligent Informatics, vol.7, no. 1, pp.25-30, 2003.
5. Kanzawa, Y., Endo, Y. and Miyamoto, S.: "Fuzzy c-Means Algorithms for Data with Tolerance using Kernel Functions", (to appear).
6. Vapnik, V., N.: Statistical Learning Theory, Wiley, New York (1998).