Nickolay T. Trendafilov

According to our database, Nickolay T. Trendafilov authored at least 24 papers between 1998 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Exploratory factor analysis of large data matrices.

Nickolay T. Trendafilov, Sara Fontanella

Stat. Anal. Data Min., 2019

2018

Sparsest factor analysis for clustering variables: a matrix decomposition approach.

Kohei Adachi, Nickolay T. Trendafilov

Adv. Data Anal. Classif., 2018

2016

Sparse principal component analysis subject to prespecified cardinality of loadings.

Kohei Adachi, Nickolay T. Trendafilov

Comput. Stat., 2016

2015

Weakly Correlated Sparse Components with Nearly Orthonormal Loadings.

Matthieu Genicot, Wen Huang, Nickolay T. Trendafilov

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

2014

Sparse matrices in data analysis.

Nickolay T. Trendafilov, Martin Kleinsteuber, Hui Zou

Comput. Stat., 2014

From simple structure to sparse components: a review.

Nickolay T. Trendafilov

Comput. Stat., 2014

2013

Exploratory factor and principal component analyses: some new aspects.

Nickolay T. Trendafilov, Steffen Unkel, Wojtek J. Krzanowski

Stat. Comput., 2013

Zig-zag exploratory factor analysis with more variables than observations.

Steffen Unkel, Nickolay T. Trendafilov

Comput. Stat., 2013

2012

DINDSCAL: direct INDSCAL.

Nickolay T. Trendafilov

Stat. Comput., 2012

Sparse principal components by semi-partition clustering.

Doyo G. Enki, Nickolay T. Trendafilov

Comput. Stat., 2012

2010

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

Nickolay T. Trendafilov

Found. Comput. Math., 2010

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

Steffen Unkel, Nickolay T. Trendafilov

Comput. Stat. Data Anal., 2010

Stepwise estimation of common principal components.

Nickolay T. Trendafilov

Comput. Stat. Data Anal., 2010

2009

Simple and interpretable discrimination.

Nickolay T. Trendafilov, Karen Vines

Comput. Stat. Data Anal., 2009

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

Steffen Unkel, Nickolay T. Trendafilov

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2007

DALASS: Variable selection in discriminant analysis via the LASSO.

Nickolay T. Trendafilov, Ian T. Jolliffe

Comput. Stat. Data Anal., 2007

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

Steffen Unkel, Nickolay T. Trendafilov

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006

Projected gradient approach to the numerical solution of the SCoTLASS.

Nickolay T. Trendafilov, Ian T. Jolliffe

Comput. Stat. Data Anal., 2006

2005

Feature Extraction by the SCoTLASS: An Illustrative Example.

Anna Bartkowiak, Nickolay T. Trendafilov

Proceedings of the Intelligent Information Processing and Web Mining, 2005

2004

The ℓ₁ oblique procrustes problem.

Nickolay T. Trendafilov, G. A. Watson

Stat. Comput., 2004

Orthonormality-Constrained INDSCAL with Nonnegative Saliences.

Nickolay T. Trendafilov

Proceedings of the Computational Science and Its Applications, 2004

2003

On the <i>l</i>₁ Procrustes problem.

Nickolay T. Trendafilov

Future Gener. Comput. Syst., 2003

2002

GIPSCAL revisited. A projected gradient approach.

Nickolay T. Trendafilov

Stat. Comput., 2002

1998

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

Moody T. Chu, Nickolay T. Trendafilov

Stat. Comput., 1998