On a differential equation approach to the weighted orthogonal Procrustes problem. - Moody T. Chu; Nickolay T. Trendafilov (Stat. Comput., 1998)

GIPSCAL revisited. A projected gradient approach. - Nickolay T. Trendafilov (Stat. Comput., 2002)

On the l1 Procrustes problem. - Nickolay T. Trendafilov (Future Gener. Comput. Syst., 2003)

Orthonormality-Constrained INDSCAL with Nonnegative Saliences. - Nickolay T. Trendafilov (ICCSA (2), 2004)

The ℓ1 oblique procrustes problem. - Nickolay T. Trendafilov; G. A. Watson (Stat. Comput., 2004)

Feature Extraction by the SCoTLASS: An Illustrative Example. - Anna Bartkowiak; Nickolay T. Trendafilov (Intelligent Information Systems, 2005)

Projected gradient approach to the numerical solution of the SCoTLASS. - Nickolay T. Trendafilov; Ian T. Jolliffe (Comput. Stat. Data Anal., 2006)

Noisy Independent Component Analysis as a Method of Rotating the Factor Scores. - Steffen Unkel; Nickolay T. Trendafilov (ICA, 2007)

DALASS: Variable selection in discriminant analysis via the LASSO. - Nickolay T. Trendafilov; Ian T. Jolliffe (Comput. Stat. Data Anal., 2007)

Factor Analysis as Data Matrix Decomposition: A New Approach for Quasi-Sphering in Noisy ICA. - Steffen Unkel; Nickolay T. Trendafilov (ICA, 2009)

Simple and interpretable discrimination. - Nickolay T. Trendafilov; Karen Vines (Comput. Stat. Data Anal., 2009)

Stepwise estimation of common principal components. - Nickolay T. Trendafilov (Comput. Stat. Data Anal., 2010)

A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis. - Steffen Unkel; Nickolay T. Trendafilov (Comput. Stat. Data Anal., 2010)

P.-A. Absil, R. Mahony, and R. Sepulchre. Optimization Algorithms on Matrix Manifolds. - Nickolay T. Trendafilov (Found. Comput. Math., 2010)

Sparse principal components by semi-partition clustering. - Doyo G. Enki; Nickolay T. Trendafilov (Comput. Stat., 2012)

DINDSCAL: direct INDSCAL. - Nickolay T. Trendafilov (Stat. Comput., 2012)

Zig-zag exploratory factor analysis with more variables than observations. - Steffen Unkel; Nickolay T. Trendafilov (Comput. Stat., 2013)

Exploratory factor and principal component analyses: some new aspects. - Nickolay T. Trendafilov; Steffen Unkel; Wojtek J. Krzanowski (Stat. Comput., 2013)

From simple structure to sparse components: a review. - Nickolay T. Trendafilov (Comput. Stat., 2014)

Sparse matrices in data analysis. - Nickolay T. Trendafilov; Martin Kleinsteuber; Hui Zou (Comput. Stat., 2014)

Weakly Correlated Sparse Components with Nearly Orthonormal Loadings. - Matthieu Genicot; Wen Huang 001; Nickolay T. Trendafilov (GSI, 2015)

Sparse principal component analysis subject to prespecified cardinality of loadings. - Kohei Adachi; Nickolay T. Trendafilov (Comput. Stat., 2016)

Sparsest factor analysis for clustering variables: a matrix decomposition approach. - Kohei Adachi; Nickolay T. Trendafilov (Adv. Data Anal. Classif., 2018)

Exploratory factor analysis of large data matrices. - Nickolay T. Trendafilov; Sara Fontanella (Stat. Anal. Data Min., 2019)