Nickolay T. Trendafilov - researchr alias

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Viewing Publication 1 - 25 from 25

2019

Exploratory factor analysis of large data matricesNickolay T. Trendafilov, Sara Fontanella. sadm, 12(1):5-11, 2019. [doi]

2018

Sparsest factor analysis for clustering variables: a matrix decomposition approachKohei Adachi, Nickolay T. Trendafilov. adac, 12(3):559-585, 2018. [doi]

2016

Sparse principal component analysis subject to prespecified cardinality of loadingsKohei Adachi, Nickolay T. Trendafilov. cstat, 31(4):1403-1427, 2016. [doi]

2015

Weakly Correlated Sparse Components with Nearly Orthonormal LoadingsMatthieu Genicot, Wen Huang, Nickolay T. Trendafilov. gsi 2015: 484-490 [doi]

2014

From simple structure to sparse components: a reviewNickolay T. Trendafilov. cstat, 29(3):431-454, 2014. [doi]

Sparse matrices in data analysisNickolay T. Trendafilov, Martin Kleinsteuber, Hui Zou. cstat, 29(3):403-405, 2014. [doi]

2013

Exploratory factor and principal component analyses: some new aspectsNickolay T. Trendafilov, Steffen Unkel, Wojtek J. Krzanowski. sac, 23(2):209-220, 2013. [doi]

Zig-zag exploratory factor analysis with more variables than observationsSteffen Unkel, Nickolay T. Trendafilov. cstat, 28(1):107-125, 2013. [doi]

2012

Sparse principal components by semi-partition clusteringDoyo G. Enki, Nickolay T. Trendafilov. cstat, 27(4):605-626, 2012. [doi]

DINDSCAL: direct INDSCALNickolay T. Trendafilov. sac, 22(1):445-454, 2012. [doi]

DINDSCAL: direct INDSCALNickolay T. Trendafilov. sac, 22(2):445-454, 2012. [doi]

2010

P.-A. Absil, R. Mahony, and R. Sepulchre. Optimization Algorithms on Matrix ManifoldsNickolay T. Trendafilov. focm, 10(2):241-244, 2010. [doi]

Stepwise estimation of common principal componentsNickolay T. Trendafilov. csda, 54(12):3446-3457, 2010. [doi]

A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysisSteffen Unkel, Nickolay T. Trendafilov. csda, 54(12):3348-3358, 2010. [doi]

2009

Simple and interpretable discriminationNickolay T. Trendafilov, Karen Vines. csda, 53(4):979-989, 2009. [doi]

Factor Analysis as Data Matrix Decomposition: A New Approach for Quasi-Sphering in Noisy ICASteffen Unkel, Nickolay T. Trendafilov. ida 2009: 163-170 [doi]

2007

DALASS: Variable selection in discriminant analysis via the LASSONickolay T. Trendafilov, Ian T. Jolliffe. csda, 51(8):3718-3736, 2007. [doi]

Noisy Independent Component Analysis as a Method of Rotating the Factor ScoresSteffen Unkel, Nickolay T. Trendafilov. ica 2007: 810-817 [doi]

2006

Projected gradient approach to the numerical solution of the SCoTLASSNickolay T. Trendafilov, Ian T. Jolliffe. csda, 50(1):242-253, 2006. [doi]

2005

Feature Extraction by the SCoTLASS: An Illustrative ExampleAnna Bartkowiak, Nickolay T. Trendafilov. iis 2005: 3-12

2004

The ::::l::::1 oblique procrustes problemNickolay T. Trendafilov, G. A. Watson. sac, 14(1):39-51, 2004. [doi]

Orthonormality-Constrained INDSCAL with Nonnegative SaliencesNickolay T. Trendafilov. iccsa 2004: 952-960 [doi]

2003

On the ::::l::::::1:: Procrustes problemNickolay T. Trendafilov. fgcs, 19(7):1177-1186, 2003. [doi]

2002

GIPSCAL revisited. A projected gradient approachNickolay T. Trendafilov. sac, 12(2):135-145, 2002. [doi]

1998

On a differential equation approach to the weighted orthogonal Procrustes problemMoody T. Chu, Nickolay T. Trendafilov. sac, 8(2):125-133, 1998. [doi]

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