-
1
-
-
34548514458
-
A direct formulation of sparse PCA using semidefinite programming
-
A. d'Aspremont, L. El Ghaoui, M. Jordan, and G. Lanckriet. A direct formulation of sparse PCA using semidefinite programming. SIAM Review, 49(3), 2007.
-
(2007)
SIAM Review
, vol.49
, Issue.3
-
-
D'aspremont, A.1
El Ghaoui, L.2
Jordan, M.3
Lanckriet, G.4
-
2
-
-
69049101180
-
High-dimensional analysis of semidefinite relaxations for sparse principal components
-
A.A. Amini and M. Wainwright. High-dimensional analysis of semidefinite relaxations for sparse principal components. The Annals of Statistics, 37(5B):2877-2921, 2009.
-
(2009)
The Annals of Statistics
, vol.37 B
, Issue.5
, pp. 2877-2921
-
-
Amini, A.A.1
Wainwright, M.2
-
3
-
-
0002226018
-
Rotation of principal components: Choice of normalization constraints
-
I. T. Jolliffe. Rotation of principal components: choice of normalization constraints. Journal of Applied Statistics, 22:29-35, 1995.
-
(1995)
Journal of Applied Statistics
, vol.22
, pp. 29-35
-
-
Jolliffe, I.T.1
-
4
-
-
0001247848
-
Loadings and correlations in the interpretation of principal components
-
J. Cadima and I. T. Jolliffe. Loadings and correlations in the interpretation of principal components. Journal of Applied Statistics, 22:203-214, 1995.
-
(1995)
Journal of Applied Statistics
, vol.22
, pp. 203-214
-
-
Cadima, J.1
Jolliffe, I.T.2
-
8
-
-
33745309913
-
Sparse principal component analysis
-
H. Zou, T. Hastie, and R. Tibshirani. Sparse Principal Component Analysis. Journal of Computational & Graphical Statistics, 15(2):265-286, 2006.
-
(2006)
Journal of Computational & Graphical Statistics
, vol.15
, Issue.2
, pp. 265-286
-
-
Zou, H.1
Hastie, T.2
Tibshirani, R.3
-
9
-
-
43049086717
-
Sparse principal component analysis via regularized low rank matrix approximation
-
July
-
Haipeng Shen and Jianhua Z. Huang. Sparse principal component analysis via regularized low rank matrix approximation. J. Multivar. Anal., 99:1015-1034, July 2008.
-
(2008)
J. Multivar. Anal.
, vol.99
, pp. 1015-1034
-
-
Shen, H.1
Huang, J.Z.2
-
11
-
-
84868288919
-
Sparse PCA: Convex relaxations, algorithms and applications
-
M. Anjos and J.B. Lasserre, editors. Springer. To appear
-
Y. Zhang, A. d'Aspremont, and L. El Ghaoui. Sparse PCA: Convex relaxations, algorithms and applications. In M. Anjos and J.B. Lasserre, editors, Handbook on Semide nite, Cone and Polynomial Optimization: Theory, Algorithms, Software and Applications. Springer, 2011. To appear.
-
(2011)
Handbook on Semide Nite, Cone and Polynomial Optimization: Theory, Algorithms, Software and Applications
-
-
Zhang, Y.1
D'aspremont, A.2
El Ghaoui, L.3
-
13
-
-
41549101939
-
Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data
-
March
-
O.Banerjee, L. El Ghaoui, and A. d'Aspremont. Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data. Journal of Machine Learning Research, 9:485-516, March 2008.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 485-516
-
-
Banerjee, O.1
El Ghaoui, L.2
D'aspremont, A.3
-
14
-
-
77949588161
-
Row by row methods for semidefinite programming
-
Columbia University
-
Zaiwen Wen, Donald Goldfarb, Shiqian Ma, and Katya Scheinberg. Row by row methods for semidefinite programming. Technical report, Dept of IEOR, Columbia University, 2009.
-
(2009)
Technical Report Dept of IEOR
-
-
Wen, Z.1
Goldfarb, D.2
Ma, S.3
Scheinberg, K.4
|