Recursive dimensionality reduction using Fisher's Linear Discriminant

Pattern Recognition

Volumn 31, Issue 7, 1998, Pages 881-888

  Poston, Wendy L ^a   Marchette, David J ^a,b  

^a NAVAL SURFACE WARFARE CENTER   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Dimensionality reduction; Expectation maximization algorithm; Fisher's Linear Discriminant

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA STRUCTURES; MATHEMATICAL TECHNIQUES; MATRIX ALGEBRA; MONTE CARLO METHODS; PROBABILITY;

EXPECTATION MAXIMIZATION ALGORITHM; FISHER LINEAR DISCRIMINANT; RECURSIVE DIMENSIONALITY REDUCTION;

PATTERN RECOGNITION;

EID: 0032120594     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(97)00108-8     Document Type: Article

References (8)

1. D. W. Scott, Multivariate Density Estimation, Wiley, New York (1992).
2. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis, Wiley, New York (1973).
3. J. E. Jackson, A User's Guide to Principal Components, Wiley, New York (1991).
4. J. K. Friedman, and J. W. Tukey, A projection pursuit algorithm for exploratory data analysis, IEEE Trans. Comput. C-23, 881-890 (1974).
5. R. A. Redner and H. F. Walker, Mixture Densities, Maximum Likelihood and the EM Algorithm, SIAM Rev. 26, 195-239 (1984).
6. B. S. Everitt and D. J. Hand, Finite Mixture Distributions, Chapman & Hall, New York (1981).
7. G. J. McLachlan and K. E. Basford, Mixture Models: Inference and Applications to Clustering, Marcel Dekker, New York (1988).
8. D. M. Titterington, A. F. Smith and V. E. Makov, Statistical Analysis of Finite Mixture Distributions, Wiley, New York (1985).