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Publication Date Publication Date
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12/2017, ISBN 9811067031, 256
This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems... 
Principal components analysis | Biomedical Engineering | Engineering | Pattern Recognition | Computational Mathematics and Numerical Analysis | Computational Intelligence | Signal, Image and Speech Processing
eBook
Journal of Chemometrics, ISSN 0886-9383, 12/2017, Volume 31, Issue 12, p. n/a
Selecting the correct number of factors in principal component analysis (PCA) is a critical step to achieve a reasonable data modelling, where the optimal... 
deflation | permutation testing | eigenvalues | projection | principal component analysis (PCA) | Permutations | Feasibility studies | Principal components analysis | Mathematical models | Computational efficiency | Statistical tests | Computing time | Matrix methods | Optimization
Journal Article
06/2010
Computational research making use of molecular dynamics (MD) simulations has begun to expand the paradigm of structural biology to include dynamics as the... 
Molecular Dynamics | 0786 | Gramicidin | Nonlinear Dynamics | Principal Component Analysis
Dissertation
Biometrics, ISSN 0006-341X, 09/2017, Volume 73, Issue 3, pp. 802 - 810
Journal Article
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 03/2015, Volume 77, Issue 2, pp. 319 - 348
We address the problem of dimension reduction for time series of functional data ( X t : t ∈ Z ) . Such functional time series frequently arise, for example,... 
Functional time series | Dimension reduction | Functional spectral analysis | Frequency domain analysis | Functional data analysis | Karhunen–Loève expansion | Principal components | Karhunen-Loève expansion | TIME-SERIES | Karhunen-Loeve expansion | STATISTICS & PROBABILITY | MODEL | INFERENCE | Statistical analysis | Simulation | Time series | International
Journal Article
IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, 10/2009, Volume 6, Issue 4, pp. 772 - 776
Journal Article
Nucleic acids research, ISSN 0305-1048, 2015, Volume 43, Issue 1, pp. W566 - W570
The Principal Component Analysis (PCA) is a widely used method of reducing the dimensionality of high-dimensional data, often followed by visualizing two of... 
GENE | PACKAGE | BIOCHEMISTRY & MOLECULAR BIOLOGY | Computer Graphics | Multivariate Analysis | Gene Expression Profiling | Software | Internet | Principal Component Analysis | Index Medicus | Web Server issue
Journal Article
Journal of Applied Statistics, ISSN 0266-4763, 01/2018, Volume 45, Issue 1, pp. 83 - 99
Interpretation of principal components is difficult due to their weights (loadings, coefficients) being of various sizes. Whereas very small weights or very... 
fast moving goods industry | sensory data | principal components | Factor analysis | Hausmann weights | L-1 | PRINCIPAL-COMPONENTS | CENTROID METHOD | STATISTICS & PROBABILITY | SELECTION | Multivariate analysis | Economic models
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 02/2013, Volume 22, Issue 2, pp. 687 - 699
Journal Article