Fuzzy c-Means clustering of mixed databases including numerical and nominal variables

2004 IEEE Conference on Cybernetics and Intelligent Systems

Volumn , Issue , 2004, Pages 557-561

  Honda, Katsuhiro ^a   Ichihashi, Hidetomo ^a  

^a Osaka Prefecture University   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DATA REDUCTION; DATABASE SYSTEMS; FUNCTIONS; ITERATIVE METHODS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS;

FUZZY C-MEANS (FCM); FUZZY C-VARIETIES (FCV); KNOWLEDGE DISCOVERIES IN DATABASES (FDD); PRINCIPAL COMPONENT ANALYSIS (PCA);

FUZZY SETS;

EID: 11244261569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, 1981.
2. I. P. Benzécri, Correspondence Analysis Handbook, Marcel Dekker, 1992.
3. C. Hayashi, "On the prediction of phenomena from qualitative data and the quantification of qualitative data from the mathematical statistical point of view," Annals of the Institute of Statistical Mathematics, vol.3, pp.69-98, 1952.
4. A. Gifi, Nonlinear Multivariate Analysis, Wiley, 1990.
5. J. Bond and G. Michailidis, "Homogeneity analysis in Lisp-Stat," Journal of Statistical Software, vol.1, issue 2, 1996.
6. P. Whittle, "On principal components and least square methods of factor analysis," Skand. Akt., vol.36, pp. 223-239, 1952.
7. K. Honda, Y. Nakamura and H. Ichihashi, "Simultaneous application of fuzzy clustering and quantification with incomplete categorical data," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.8, no.4, pp.397-402, 2004.
8. K. Honda and H. Ichihashi, "Linear fuzzy clustering techniques with missing values and their application to local principal component analysis," IEEE Transactions on Fuzzy Systems, vol.12, no.2, pp.183-193, 2004.
9. C.-H. Oh, K. Honda and H. Ichihashi, "Fuzzy clustering for categorical multivariate data," Proc. of Joint 9th IFSA World Congress and 20th NAFIPS International Conference, pp.2154-2159, 2001.
10. K. Umayahara, S. Miyamoto and Y. Nakamori, "Formulations of fuzzy clustering for categorical data," Proc. of International Workshop of Fuzzy Systems & Innovational Computing, pp.344-349, 2004.
11. M. Ryoke and Y. Nakamori, "Agent-based clustering and rule extraction," Proc. of SCIS & ISIS 2002, #22Q3-5, 2002.
12. R.A. Fisher, "The use of multiple measurements in taxonomic problems," Annual Eugenics, vol.7, Part II, pp. 179-188, 1936.
13. K. Honda, N. Sugiura, H. Ichihashi and S. Araki, "Collaborative filtering using principal component analysis and fuzzy clustering," Web Intelligence: Research and Development, Lecture Notes in Artificial Intelligence 2198, Springer, pp. 394-402, 2001.
14. K. Honda and H. Ichihashi, "Component-wise robust linear fuzzy clustering for collaborative filtering," International Journal of Approximate Reasoning, vol.37, no.2, pp.127-144, 2004.