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EEG frequency PCA in EEG‐ERP dynamics

Psychophysiology, 2018-05, Vol.55 (5), p.e13042-n/a

2018

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Two‐step principal component analysis for dynamic processes monitoring

Canadian journal of chemical engineering, 2018-01, Vol.96 (1), p.160-170

2018

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cPCA++: An efficient method for contrastive feature learning

Pattern recognition, 2022-04, Vol.124, p.108378, Article 108378

2022

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Weighted preliminary-summation-based principal component analysis for non-Gaussian processes

Control engineering practice, 2019-06, Vol.87, p.122-132

2019

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STATIS and DISTATIS: optimum multitable principal component analysis and three way metric multidimensional scaling

Wiley interdisciplinary reviews. Computational statistics, 2012-03, Vol.4 (2), p.124-167

2012

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RadarTSR: A new algorithm for cellwise and rowwise outlier detection and missing data imputation

Chemometrics and intelligent laboratory systems, 2024-04, Vol.247, Article 105047

2024

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Genetic variants and prostate cancer susceptibility

The FASEB journal, 2022-05, Vol.36 (S1), p.n/a

Zhang, Yuxiong

2022

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Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data

IEEE transactions on cybernetics, 2022-10, Vol.52 (10), p.11068-11080

2022

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Exploring the potential of PCA-based quantitation of NMR signals in T1 relaxometry

Journal of magnetic resonance (1997), 2021-05, Vol.326, p.106965-106965, Article 106965

2021

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Online reduced kernel principal component analysis for process monitoring

Journal of process control, 2018-01, Vol.61, p.1-11

2018

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Recommended terms and abbreviations for polychlorinated alkanes (PCAs) as the predominant component of chlorinated paraffins (CPs)

TrAC, Trends in analytical chemistry (Regular ed.), 2023-12, Vol.169, p.117363, Article 117363

2023

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Análisis de componentes principales con datos georreferenciados Una aplicación en agricultura de precisión

Revista de la Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, 2022-11, Vol.44 (1)

2022

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Feature Snatching and Performance Assessment for Connoting the Admittance Likelihood of student using Principal Component Reduction

International journal of recent technology and engineering, 2019-07, Vol.8 (2), p.4800-4807

2019

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Preliminary-summation-based principal component analysis for non-Gaussian processes

Chemometrics and intelligent laboratory systems, 2015-08, Vol.146, p.270-289

2015

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Identification and visualisation of microplastics via PCA to decode Raman spectrum matrix towards imaging

Chemosphere (Oxford), 2022-01, Vol.286, p.131736-131736, Article 131736

2022

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PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

Technical review - IETE, 2021-07, Vol.38 (4), p.377-396

2021

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Adaptive local Principal Component Analysis improves the clustering of high-dimensional data

Pattern recognition, 2024-02, Vol.146, p.110030, Article 110030

2024

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Potential of different strategies to increase intramuscular fat deposition in sheep: A meta-analysis study

Small ruminant research, 2024-05, Vol.234, Article 107258

2024

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Principal component analysis by Lp-norm maximization

IEEE transactions on cybernetics, 2014-05, Vol.44 (5), p.594-609

Kwak, Nojun

2014

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Tutorial on PCA and approximate PCA and approximate kernel PCA

The Artificial intelligence review, 2023-06, Vol.56 (6), p.5445-5477

Marukatat, Sanparith

2023

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Two-Dimensional Quaternion PCA and Sparse PCA

IEEE transaction on neural networks and learning systems, 2019-07, Vol.30 (7), p.2028-2042

2019

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Raman imaging of microplastics and nanoplastics released from the printed toner powders burned by a mimicked bushfire

The Science of the total environment, 2022-11, Vol.849, p.157686-157686, Article 157686

2022

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Exploiting Principal Component Analysis (PCA) to reveal temperature, buffer and metal ions' role in neuromelanin (NM) synthesis by dopamine (DA) oxidative polymerization

Journal of inorganic biochemistry, 2024-07, Vol.256, p.112548-112548, Article 112548

2024

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Analysis of Decision Tree and K-Nearest Neighbor Algorithm in the Classification of Breast Cancer

Asian Pacific journal of cancer prevention : APJCP, 2019-12, Vol.20 (12), p.3777-3781

2019

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Surface enhanced Raman spectroscopy for the characterization of the metabolites of the biodesulfurization of dibenzothiophene carried out by Tsukamurella paurometabola

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2024-05, Vol.313, Article 124126

2024

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EEG frequency PCA in EEG‐ERP dynamics

Two‐step principal component analysis for dynamic processes monitoring

cPCA++: An efficient method for contrastive feature learning

Weighted preliminary-summation-based principal component analysis for non-Gaussian processes

STATIS and DISTATIS: optimum multitable principal component analysis and three way metric multidimensional scaling

RadarTSR: A new algorithm for cellwise and rowwise outlier detection and missing data imputation

Genetic variants and prostate cancer susceptibility

Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data

Exploring the potential of PCA-based quantitation of NMR signals in T1 relaxometry

Online reduced kernel principal component analysis for process monitoring

Recommended terms and abbreviations for polychlorinated alkanes (PCAs) as the predominant component of chlorinated paraffins (CPs)

Análisis de componentes principales con datos georreferenciados Una aplicación en agricultura de precisión

Feature Snatching and Performance Assessment for Connoting the Admittance Likelihood of student using Principal Component Reduction

Preliminary-summation-based principal component analysis for non-Gaussian processes

Identification and visualisation of microplastics via PCA to decode Raman spectrum matrix towards imaging

PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

Adaptive local Principal Component Analysis improves the clustering of high-dimensional data

Potential of different strategies to increase intramuscular fat deposition in sheep: A meta-analysis study

Principal component analysis by Lp-norm maximization

Tutorial on PCA and approximate PCA and approximate kernel PCA

Two-Dimensional Quaternion PCA and Sparse PCA

Raman imaging of microplastics and nanoplastics released from the printed toner powders burned by a mimicked bushfire

Exploiting Principal Component Analysis (PCA) to reveal temperature, buffer and metal ions' role in neuromelanin (NM) synthesis by dopamine (DA) oxidative polymerization

Analysis of Decision Tree and K-Nearest Neighbor Algorithm in the Classification of Breast Cancer

Surface enhanced Raman spectroscopy for the characterization of the metabolites of the biodesulfurization of dibenzothiophene carried out by Tsukamurella paurometabola

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