1 |
Nguyen, D. and Rocke, D. (2002). Tumor classification by partial least squares using microarray gene expression data. Bioinformatics, 18, 39-50.
DOI
ScienceOn
|
2 |
Preda, C., Saporta, G. and Leveder. C. (2007). PLS classification of functional data. Computational Statistics, 22, 223-235.
DOI
ScienceOn
|
3 |
Wold, S., Sjostrom, M. and Eriksson, L. (2001). PLS-regression: A basic tool of chemometrics. Chemometrics and Intelligent Laboratory System, 58, 109-130.
DOI
ScienceOn
|
4 |
Wold, S., Rube, H., Wold, H. and Dunn, W.J. (1984). The collinearity problem in linear regression. The Partial Least Squares (PLS) approach to generalized inverses. SIAM Journal of Scientific and Statistical Computations, 5, 735-743.
DOI
|
5 |
Zou, H., Hastie, T. and Tibshirani, R. (2006). Sparsep principal component analysis. Journal of Computational and Graphical Statistics, 15, 265-286.
DOI
ScienceOn
|
6 |
전치혁, 정민근, 이혜선 (2004). <공학응용통계>, 홍릉출판사, 서울.
|
7 |
Barker, M. and Rayens, W. (2003). Partial least squares for discrimination. Journal of Chemometrics, 17, 166-173.
DOI
ScienceOn
|
8 |
Berger, R. (1981). Comparison of the Gompertz and logistic equations to describe plant disease progress. Phytopathology, 71, 716-719.
DOI
|
9 |
Geldadi, P. and Kowalski, B. (1986). Partial least-squares regression: A tutorial. Analytica Chemica Acta, 185, 1-17.
DOI
|
10 |
Fort, G. and Lambert-Lacroix, S. (2005). Classification using partial least squares with penalized logistic regression. Bioinformatics, 21, 1104-1111.
DOI
ScienceOn
|
11 |
Kemsley, E. K. (1996). Discriminant analysis of high-dimensional data: A comparison of principal components analysis and partial least squares data reduction methods. Chemometrics and Intelligent Laboratory Systems, 33, 47-61.
DOI
ScienceOn
|
12 |
Kramer, N., Boulesteix, A. and Tutz, G. (2008). Penalized Partial Least Squares with applications to Bspline transformations and functional data. Chemometrics and Intelligent Laboratory Systems, 94, 60-69.
DOI
ScienceOn
|
13 |
Mallet, Y., Coomans, D. and de Vel, O. (1996). Recent developments in discriminant analysis on high dimensional spectral data. Chemometrics and Intelligent Laboratory Systems, 35, 157-173.
DOI
ScienceOn
|
14 |
McCullagh, P. and Nelder, J. (1989). Generalized linear models, second edition, Chapman and Hall/CRC, Boca Raton.
|
15 |
이제영, 이종형 (2010). 서포트 벡터 머신 알고리즘을 활용한 연속형 데이터의 다중인자 차원축소방법 적용. <한국데이터정보과학회지>, 21, 1271-1280.
|