# Nickolay T. Trendafilov

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^{1}, Nickolay T. Trendafilov## Timeline

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## Bibliography

2015

Weakly Correlated Sparse Components with Nearly Orthonormal Loadings.

Proceedings of the Geometric Science of Information - Second International Conference, 2015

2013

Exploratory factor and principal component analyses: some new aspects.

Statistics and Computing, 2013

2012

DINDSCAL: direct INDSCAL.

Statistics and Computing, 2012

2010

P.-A. Absil, R. Mahony, and R. Sepulchre. Optimization Algorithms on Matrix Manifolds.

Foundations of Computational Mathematics, 2010

A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis.

Computational Statistics & Data Analysis, 2010

Stepwise estimation of common principal components.

Computational Statistics & Data Analysis, 2010

2009

Simple and interpretable discrimination.

Computational Statistics & Data Analysis, 2009

Factor Analysis as Data Matrix Decomposition: A New Approach for Quasi-Sphering in Noisy ICA.

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2007

DALASS: Variable selection in discriminant analysis via the LASSO.

Computational Statistics & Data Analysis, 2007

Noisy Independent Component Analysis as a Method of Rotating the Factor Scores.

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006

Projected gradient approach to the numerical solution of the SCoTLASS.

Computational Statistics & Data Analysis, 2006

2005

Feature Extraction by the SCoTLASS: An Illustrative Example.

Proceedings of the Intelligent Information Processing and Web Mining, 2005

2004

The ℓ

_{1}oblique procrustes problem.
Statistics and Computing, 2004

Orthonormality-Constrained INDSCAL with Nonnegative Saliences.

Proceedings of the Computational Science and Its Applications, 2004

2003

Future Generation Comp. Syst., 2003

2002

GIPSCAL revisited. A projected gradient approach.

Statistics and Computing, 2002

1998

On a differential equation approach to the weighted orthogonal Procrustes problem.

Statistics and Computing, 1998