Jolliffe I T,Principal Component Analysis,New York NY,USA:Springer-Verlag,1986.
[2]
Fisher R A,The use of multiple measurements in taxonomic problems,Annu.Eugenics,1936(2).
[3]
Foley D H,Sammon J W,An optimal set of discriminant vectors,IEEE Transactions on Compute,1975(3).
[4]
Jin Z,Yang J Y,Hu Z S,Face recognition based on the uncorrelated discriminant transformation,Pattern Recognition,2001(7).
[5]
Zadeh L A,Fuzzy sets,Inform.Control,1965.
[6]
Bezdek J C,Pattern Recognition with Fuzzy Objective Function Algorlthms,New York,NY,USA:Plenum,1981.
[7]
Krishnapuram R,Keller J,A possibilistic approach to clustering,IEEE Transactions on Fuzzy Systems,1993(2).
[8]
Pal N R,Pal K,Bezdek J C,A possibilistic fuzzy c-means clustering algorithm,IEEE Transactions on Fuzzy Systems,2005(4).
[9]
Dave R N,Sen Sumit,Noise clustering algorithm revisited,Syracuse,NY,USA,1997.
[10]
Wu Xiao-hong,Zhou Jian-jiang,Fuzzy principal component analysis and its kernel-based model,Journal of Electronics,2007(6).
[11]
Chen Z P,Jiang J H,Li Y,Fuzzy linear discriminant analysis for chemical data sets,Chemometrics and Intelligent Laboratory Systems,1999(1-2).
[12]
Keller J M,Gray M R,Givens Jr J A,A fuzzy k-nearest neighbor algorithm,IEEE Transactions on Systems,Man and Cybernetics,1985(4).
[13]
Lin C F,Wang S D,Fuzzy support vector machines,IEEE Transactions on Neural Networks,2002(2).
[14]
Duchene J,Leclereq S,An optimal transformation for discriminant and principal component analysis,IEEE Transactions on Pattern Analysis and Machine Intelligence,1988(6).
[15]
Xu Y,Yang J Y,Jin Z,Theory analysis on FSLDA and ULDA,Pattern Recognition,2003(12).
