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2013, 1st ed., Numerical mathematics and scientific computation, ISBN 9780199655410, Volume 9780199655410, xv, 391
Book
Journal Article
Journal of Econometrics, ISSN 0304-4076, 04/2019, Volume 209, Issue 2, pp. 391 - 406
Journal Article
Parallel computing, ISSN 0167-8191, 2012, Volume 38, Issue 4-5, pp. 245 - 259
Journal Article
ACM Transactions on Knowledge Discovery from Data (TKDD), ISSN 1556-4681, 01/2009, Volume 2, Issue 4, pp. 1 - 40
...Weighted Cluster Ensembles: Methods and Analysis CARLOTTA DOMENICONI and MUNA AL-RAZGAN George Mason University Cluster ensembles offer a solution... 
accuracy and diversity measures | subspace clustering | Cluster ensembles | text data | data mining | consensus functions | Subspace clustering | Consensus functions | Accuracy and diversity measures | Data mining | Text data
Journal Article
SIAM journal on scientific computing, ISSN 1095-7197, 2014, Volume 36, Issue 4, pp. A1500 - A1524
Journal Article
Journal of computational and applied mathematics, ISSN 0377-0427, 2020, Volume 370, p. 112674
In the present paper, we present some numerical methods for computing approximate solutions to some large differential linear matrix equations... 
Matrix Krylov subspace | Global Arnoldi | Lyapunov equation | Sylvester equation | MATHEMATICS, APPLIED | APPROXIMATIONS | ALGORITHMS
Journal Article
Journal of Computational and Applied Mathematics, ISSN 0377-0427, 08/2015, Volume 283, pp. 71 - 78
We briefly introduce typical and important direct and iterative methods for solving systems of linear equations, concretely describe their fundamental characteristics in viewpoints of both theory... 
Direct method | Iterative method | Linear system | Krylov subspace | Preconditioning | MATHEMATICS, APPLIED | RELAXATION METHODS | GMRES CONVERGENCE | HERMITIAN SPLITTING METHODS | MULTILEVEL PRECONDITIONING METHODS | BOUNDS | MATRICES | ITERATIVE METHODS | Linear systems | State of the art | Algebra | Algorithms | Searching | Mathematical models | Linear equations | Subspace methods
Journal Article
Journal of computational chemistry, ISSN 0192-8651, 2015, Volume 36, Issue 9, pp. 601 - 611
Journal Article
ACM Computing Surveys (CSUR), ISSN 0360-0300, 01/2018, Volume 50, Issue 6, pp. 1 - 33
Canonical correlation analysis is a family of multivariate statistical methods for the analysis of paired sets of variables... 
kernel methods | regularisation | sparsity | Canonical correlation | REGRESSION | DIMENSIONALITY REDUCTION | 2 SETS | STATISTICS | FRAMEWORK | SUBSPACES |