Fuzzy clustering level analysis using AIC method for large size samples

Second International Conference on Innovative Computing, Information and Control, ICICIC 2007

Volumn , Issue , 2007, Pages

  Kanagawa, Shuya ^a   Uesu, Hiroaki ^b   Shinkai, Kimiaki ^b   Tsuda, Ei ^c   Yamashita, Hajime ^b  

^a TOKYO CITY UNIVERSITY   (Japan)

^b WASEDA UNIVERSITY   (Japan)

^c Kokugakuinn SRHS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC ANALYSIS; INFORMATION THEORY; MAXIMUM LIKELIHOOD ESTIMATION; RANDOM NUMBER GENERATION; SAMPLING;

AIC METHODS; ASYMPTOTIC NORMALITY; PSEUDO RANDOM NUMBERS;

FUZZY CLUSTERING;

EID: 39049165212     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2007.321     Document Type: Conference Paper

References (7)

1. nd Inter. Symp. on Information Theory, Akademiai Kiado, pp. 265-281.
2. S. Kanagawa, E. Tsuda, K. Shinkai and H. Yamashita, Fuzzy Clustering Level Analysis Applying AIC, Proceedings of Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems (2004).
3. S. Kanagawa, H. Uesu, K. Shinkai and E. Tsuda, Fuzzy Clustering Level Analysis Applying AIC Method, submitted to Journal of Advanced Computational Intelligence and Intelligent Informatics.
4. E. Tsuda and H. Yamashita, Sociometry analysis using fuzzy graphs. J. Japan SOFT, vol. 6, No.3, 1994 (in Japanese).
5. H. Uesu and K. Shinkai, Learning Structure Analysis System Applying Fuzzy Theory, Int'l Conference on Advanced Learning Technologies, 2004.
6. H. Uesu, H. Yamashita, T. Takizawa and M. Yanai, Optimal Fuzzy Graph Based on Fuzzy Node Fuzzy Graph Analysis, Proceeding of SCIS & ISIS 2006.
7. K. Shinkai and H. Yamashita, Level Analysis of Fuzzy Partition Tree and its Application, Int'l Workshop on Soft Computing Applications, 2005.