Nickolay T. Trendafilov

24 papers Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2019 J jnl
Exploratory factor analysis of large data matrices.
Stat. Anal. Data Min.
Nickolay T. Trendafilov, Sara Fontanella
2018 J jnl
Sparsest factor analysis for clustering variables: a matrix decomposition approach.
Adv. Data Anal. Classif.
Kohei Adachi, Nickolay T. Trendafilov
2016 J jnl
Sparse principal component analysis subject to prespecified cardinality of loadings.
Comput. Stat.
Kohei Adachi, Nickolay T. Trendafilov
2015 — conf
Weakly Correlated Sparse Components with Nearly Orthonormal Loadings.
GSI
Matthieu Genicot, Wen Huang, Nickolay T. Trendafilov
2014 J jnl
From simple structure to sparse components: a review.
Comput. Stat.
Nickolay T. Trendafilov
2014 J jnl
Sparse matrices in data analysis.
Comput. Stat.
Nickolay T. Trendafilov, Martin Kleinsteuber, Hui Zou
2013 J jnl
Exploratory factor and principal component analyses: some new aspects.
Stat. Comput.
Nickolay T. Trendafilov, Steffen Unkel, Wojtek J. Krzanowski
2013 J jnl
Zig-zag exploratory factor analysis with more variables than observations.
Comput. Stat.
Steffen Unkel, Nickolay T. Trendafilov
2012 J jnl
DINDSCAL: direct INDSCAL.
Stat. Comput.
Nickolay T. Trendafilov
2012 J jnl
Sparse principal components by semi-partition clustering.
Comput. Stat.
Doyo G. Enki, Nickolay T. Trendafilov
2010 J jnl
A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis.
Comput. Stat. Data Anal.
Steffen Unkel, Nickolay T. Trendafilov
2010 J jnl
P.-A. Absil, R. Mahony, and R. Sepulchre. Optimization Algorithms on Matrix Manifolds.
Found. Comput. Math.
Nickolay T. Trendafilov
2010 J jnl
Stepwise estimation of common principal components.
Comput. Stat. Data Anal.
Nickolay T. Trendafilov
2009 — conf
Factor Analysis as Data Matrix Decomposition: A New Approach for Quasi-Sphering in Noisy ICA.
ICA
Steffen Unkel, Nickolay T. Trendafilov
2009 J jnl
Simple and interpretable discrimination.
Comput. Stat. Data Anal.
Nickolay T. Trendafilov, Karen Vines
2007 J jnl
DALASS: Variable selection in discriminant analysis via the LASSO.
Comput. Stat. Data Anal.
Nickolay T. Trendafilov, Ian T. Jolliffe
2007 — conf
Noisy Independent Component Analysis as a Method of Rotating the Factor Scores.
ICA
Steffen Unkel, Nickolay T. Trendafilov
2006 J jnl
Projected gradient approach to the numerical solution of the SCoTLASS.
Comput. Stat. Data Anal.
Nickolay T. Trendafilov, Ian T. Jolliffe
2005 — conf
Feature Extraction by the SCoTLASS: An Illustrative Example.
Intelligent Information Systems
Anna Bartkowiak, Nickolay T. Trendafilov
2004 — conf
Orthonormality-Constrained INDSCAL with Nonnegative Saliences.
ICCSA (2)
Nickolay T. Trendafilov
2004 J jnl
The ℓ
Stat. Comput.
Nickolay T. Trendafilov, G. A. Watson
2003 J jnl
On the
Future Gener. Comput. Syst.
Nickolay T. Trendafilov
2002 J jnl
GIPSCAL revisited. A projected gradient approach.
Stat. Comput.
Nickolay T. Trendafilov
1998 J jnl
On a differential equation approach to the weighted orthogonal Procrustes problem.
Stat. Comput.
Moody T. Chu, Nickolay T. Trendafilov