Application of improved Fisher Linear Discriminant Analysis approaches
暂无分享,去创建一个
The objective of discriminant analysis is to use information from the independent variables to achieve the clearest possible separation or discrimination between or among groups, the main task of the present work is to modify the objective functions and make the separation as large as possible. Fisher Linear Discriminant Analysis approach is modified to meet the requirement that maximizes the objective function, some computer simulations show that the modified ones can achieve the same results as the previous one.
[1] John W. Sammon,et al. A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.
[2] Kuldip K. Paliwal,et al. Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition , 2003, Pattern Recognit..
[3] Ian T. Jolliffe,et al. Principal Component Analysis , 2002, International Encyclopedia of Statistical Science.
[4] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .