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ORCIDNickolay T. Trendafilov
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2010 – 2019
- 2019
[j19]Nickolay T. Trendafilov
, Sara Fontanella:
Exploratory factor analysis of large data matrices. Stat. Anal. Data Min. 12(1): 5-11 (2019)- 2018
- [j18]Kohei Adachi, Nickolay T. Trendafilov:
Sparsest factor analysis for clustering variables: a matrix decomposition approach. Adv. Data Anal. Classif. 12(3): 559-585 (2018) - 2016
- [j17]Kohei Adachi, Nickolay T. Trendafilov:
Sparse principal component analysis subject to prespecified cardinality of loadings. Comput. Stat. 31(4): 1403-1427 (2016) - 2015
- [c5]Matthieu Genicot, Wen Huang, Nickolay T. Trendafilov:
Weakly Correlated Sparse Components with Nearly Orthonormal Loadings. GSI 2015: 484-490 - 2014
- [j16]Nickolay T. Trendafilov, Martin Kleinsteuber, Hui Zou:
Sparse matrices in data analysis. Comput. Stat. 29(3): 403-405 (2014) - [j15]Nickolay T. Trendafilov:
From simple structure to sparse components: a review. Comput. Stat. 29(3): 431-454 (2014) - 2013
- [j14]Steffen Unkel, Nickolay T. Trendafilov:
Zig-zag exploratory factor analysis with more variables than observations. Comput. Stat. 28(1): 107-125 (2013) - [j13]Nickolay T. Trendafilov, Steffen Unkel, Wojtek J. Krzanowski:
Exploratory factor and principal component analyses: some new aspects. Stat. Comput. 23(2): 209-220 (2013) - 2012
- [j12]Doyo G. Enki, Nickolay T. Trendafilov:
Sparse principal components by semi-partition clustering. Comput. Stat. 27(4): 605-626 (2012) - [j11]Nickolay T. Trendafilov:
DINDSCAL: direct INDSCAL. Stat. Comput. 22(2): 445-454 (2012) - 2010
- [j10]Steffen Unkel, Nickolay T. Trendafilov:
A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis. Comput. Stat. Data Anal. 54(12): 3348-3358 (2010) - [j9]Nickolay T. Trendafilov:
Stepwise estimation of common principal components. Comput. Stat. Data Anal. 54(12): 3446-3457 (2010) - [j8]Nickolay T. Trendafilov:
P.-A. Absil, R. Mahony, and R. Sepulchre. Optimization Algorithms on Matrix Manifolds. Found. Comput. Math. 10(2): 241-244 (2010)
2000 – 2009
- 2009
- [j7]Nickolay T. Trendafilov, Karen Vines:
Simple and interpretable discrimination. Comput. Stat. Data Anal. 53(4): 979-989 (2009) - [c4]Steffen Unkel, Nickolay T. Trendafilov:
Factor Analysis as Data Matrix Decomposition: A New Approach for Quasi-Sphering in Noisy ICA. ICA 2009: 163-170 - 2007
- [j6]Nickolay T. Trendafilov, Ian T. Jolliffe:
DALASS: Variable selection in discriminant analysis via the LASSO. Comput. Stat. Data Anal. 51(8): 3718-3736 (2007) - [c3]Steffen Unkel, Nickolay T. Trendafilov:
Noisy Independent Component Analysis as a Method of Rotating the Factor Scores. ICA 2007: 810-817 - 2006
- [j5]Nickolay T. Trendafilov, Ian T. Jolliffe:
Projected gradient approach to the numerical solution of the SCoTLASS. Comput. Stat. Data Anal. 50(1): 242-253 (2006) - 2005
- [c2]Anna Bartkowiak, Nickolay T. Trendafilov:
Feature Extraction by the SCoTLASS: An Illustrative Example. Intelligent Information Systems 2005: 3-12 - 2004
- [j4]Nickolay T. Trendafilov, G. A. Watson:
The ℓ1 oblique procrustes problem. Stat. Comput. 14(1): 39-51 (2004) - [c1]Nickolay T. Trendafilov:
Orthonormality-Constrained INDSCAL with Nonnegative Saliences. ICCSA (2) 2004: 952-960 - 2003
- [j3]Nickolay T. Trendafilov:
On the l1 Procrustes problem. Future Gener. Comput. Syst. 19(7): 1177-1186 (2003) - 2002
- [j2]Nickolay T. Trendafilov:
GIPSCAL revisited. A projected gradient approach. Stat. Comput. 12(2): 135-145 (2002)
1990 – 1999
- 1998
- [j1]Moody T. Chu, Nickolay T. Trendafilov:
On a differential equation approach to the weighted orthogonal Procrustes problem. Stat. Comput. 8(2): 125-133 (1998)
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