Title :
Simultaneous approach to fuzzy cluster, principal component and multiple regression analysis
Author :
Yamakawa, Asuka ; Honda, Katsuhiko ; Ichihashi, Hidetomo ; Miyoshi, Tetsuya
Author_Institution :
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
Abstract :
Hathaway and Bezdek´s fuzzy c-regression models [FCRM] (1993) is regarded as a simultaneous analysis of clustering and multiple regression. In high dimensional setting, by the partitioning of data set, the regression techniques do not perform well for reasonable sample sizes because of the inherent sparsity of samples. This paper proposes a simultaneous approach to the clustering, principal component analysis and multiple regression analysis
Keywords :
fuzzy set theory; pattern clustering; principal component analysis; statistical analysis; FCRM; PCA; data set partitioning; fuzzy c-regression models; fuzzy cluster analysis; multiple regression analysis; principal component analysis; sample sparsity; Business; Clustering algorithms; Computer aided manufacturing; Distributed computing; Educational institutions; Industrial engineering; Lagrangian functions; Marketing and sales; Principal component analysis; Regression analysis;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.830864
