Nickolay T. Trendafilov

Publication Activity (10 Years)

Years Active: 1998-2019
Publications (10 Years): 4

Top Topics

Disjoint Clusters

Factor Analysis

Principal Components Analysis

Sparse Matrices

Top Venues

Stat. Anal. Data Min.

Publications

Nickolay T. Trendafilov, Sara Fontanella
Exploratory factor analysis of large data matrices. Stat. Anal. Data Min. 12 (1) (2019)
Kohei Adachi, Nickolay T. Trendafilov
Sparsest factor analysis for clustering variables: a matrix decomposition approach. Adv. Data Anal. Classif. 12 (3) (2018)
Kohei Adachi, Nickolay T. Trendafilov
Sparse principal component analysis subject to prespecified cardinality of loadings. Comput. Stat. 31 (4) (2016)
Matthieu Genicot, Wen Huang, Nickolay T. Trendafilov
Weakly Correlated Sparse Components with Nearly Orthonormal Loadings. GSI (2015)
Nickolay T. Trendafilov
From simple structure to sparse components: a review. Comput. Stat. 29 (3) (2014)
Nickolay T. Trendafilov, Martin Kleinsteuber, Hui Zou
Sparse matrices in data analysis. Comput. Stat. 29 (3) (2014)
Steffen Unkel, Nickolay T. Trendafilov
Zig-zag exploratory factor analysis with more variables than observations. Comput. Stat. 28 (1) (2013)
Nickolay T. Trendafilov, Steffen Unkel, Wojtek J. Krzanowski
Exploratory factor and principal component analyses: some new aspects. Stat. Comput. 23 (2) (2013)
Nickolay T. Trendafilov
DINDSCAL: direct INDSCAL. Stat. Comput. 22 (2) (2012)
Doyo G. Enki, Nickolay T. Trendafilov
Sparse principal components by semi-partition clustering. Comput. Stat. 27 (4) (2012)
Nickolay T. Trendafilov
Stepwise estimation of common principal components. Comput. Stat. Data Anal. 54 (12) (2010)
Steffen Unkel, Nickolay T. Trendafilov
A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis. Comput. Stat. Data Anal. 54 (12) (2010)
Nickolay T. Trendafilov
P.-A. Absil, R. Mahony, and R. Sepulchre. Optimization Algorithms on Matrix Manifolds. Found. Comput. Math. 10 (2) (2010)
Steffen Unkel, Nickolay T. Trendafilov
Factor Analysis as Data Matrix Decomposition: A New Approach for Quasi-Sphering in Noisy ICA. ICA (2009)
Nickolay T. Trendafilov, Karen Vines
Simple and interpretable discrimination. Comput. Stat. Data Anal. 53 (4) (2009)
Nickolay T. Trendafilov, Ian T. Jolliffe
DALASS: Variable selection in discriminant analysis via the LASSO. Comput. Stat. Data Anal. 51 (8) (2007)
Steffen Unkel, Nickolay T. Trendafilov
Noisy Independent Component Analysis as a Method of Rotating the Factor Scores. ICA (2007)
Nickolay T. Trendafilov, Ian T. Jolliffe
Projected gradient approach to the numerical solution of the SCoTLASS. Comput. Stat. Data Anal. 50 (1) (2006)
Anna Bartkowiak, Nickolay T. Trendafilov
Feature Extraction by the SCoTLASS: An Illustrative Example. Intelligent Information Systems (2005)
Nickolay T. Trendafilov, G. A. Watson
oblique procrustes problem. Stat. Comput. 14 (1) (2004)
Nickolay T. Trendafilov
Orthonormality-Constrained INDSCAL with Nonnegative Saliences. ICCSA (2) (2004)
Nickolay T. Trendafilov
Procrustes problem. Future Gener. Comput. Syst. 19 (7) (2003)
Nickolay T. Trendafilov
GIPSCAL revisited. A projected gradient approach. Stat. Comput. 12 (2) (2002)
Moody T. Chu, Nickolay T. Trendafilov
On a differential equation approach to the weighted orthogonal Procrustes problem. Stat. Comput. 8 (2) (1998)