Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals
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[1] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[2] Hidetomo Ichihashi,et al. Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering , 2001, Web Intelligence.
[3] Takahiro Tsuchiya,et al. A Quantification Method for Classification of Variables , 1995 .
[4] Sadaaki Miyamoto,et al. Fuzzy c-means as a regularization and maximum entropy approach , 1997 .
[5] J. C. Peters,et al. Fuzzy Cluster Analysis : A New Method to Predict Future Cardiac Events in Patients With Positive Stress Tests , 1998 .
[6] Ning Zhong,et al. Web Intelligence: Research and Development , 2001, Lecture Notes in Computer Science.
[7] J. Bezdek,et al. Detection and Characterization of Cluster Substructure II. Fuzzy c-Varieties and Convex Combinations Thereof , 1981 .
[8] M. Hill,et al. Nonlinear Multivariate Analysis. , 1990 .
[9] Hidetomo Ichihashi,et al. Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data , 2004, J. Adv. Comput. Intell. Intell. Informatics.
[10] Jason Bond,et al. Homogeneity Analysis in Xlisp-Stat , 1996 .
[11] I. Jolliffe,et al. Nonlinear Multivariate Analysis , 1992 .
[12] Hidetomo Ichihashi,et al. Linear fuzzy clustering techniques with missing values and their application to local principal component analysis , 2004, IEEE Transactions on Fuzzy Systems.