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Cross-talk correction method for knee kinematics in gait analysis using principal component analysis (PCA): a new proposal
Cross-talk correction method for knee kinematics in gait analysis using principal component analysis (PCA): a new proposal
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Cross-talk correction method for knee kinematics in gait analysis using principal component analysis (PCA): a new proposal

Baudet, Audrey ; Morisset, Claire ; d'Athis, Philippe ; Maillefert, Jean-Francis ; Casillas, Jean-Marie ; Ornetti, Paul ; Laroche, Davy Fasano, Alfonso

PloS one, 2014-07, Vol.9 (7), p.e102098-e102098 [Periódico revisado por pares]

United States: Public Library of Science

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Fingerprinting of anthocyanins from grapes produced in Brazil using HPLC–DAD–MS and exploratory analysis by principal component analysis
Fingerprinting of anthocyanins from grapes produced in Brazil using HPLC–DAD–MS and exploratory analysis by principal component analysis
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Fingerprinting of anthocyanins from grapes produced in Brazil using HPLC–DAD–MS and exploratory analysis by principal component analysis

Fraige, Karina ; Pereira-Filho, Edenir R. ; Carrilho, Emanuel

Food chemistry, 2014-02, Vol.145, p.395-403 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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3
Incipient fault detection and diagnosis based on Kullback–Leibler divergence using Principal Component Analysis: Part I
Incipient fault detection and diagnosis based on Kullback–Leibler divergence using Principal Component Analysis: Part I
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Incipient fault detection and diagnosis based on Kullback–Leibler divergence using Principal Component Analysis: Part I

Harmouche, Jinane ; Delpha, Claude ; Diallo, Demba

Signal processing, 2014-01, Vol.94, p.278-287 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease
Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease
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Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease

O'Dell, Ryan S. ; Higgins-Chen, Albert ; Gupta, Dhruva ; Chen, Ming-Kai ; Naganawa, Mika ; Toyonaga, Takuya ; Lu, Yihuan ; Ni, Gessica ; Chupak, Anna ; Zhao, Wenzhen ; Salardini, Elaheh ; Nabulsi, Nabeel B. ; Huang, Yiyun ; Arnsten, Amy F.T. ; Carson, Richard E. ; van Dyck, Christopher H. ; Mecca, Adam P.

NeuroImage clinical, 2023-01, Vol.39, p.103457-103457, Article 103457 [Periódico revisado por pares]

Netherlands: Elsevier Inc

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5
Geographical origin identification of propolis using GC–MS and electronic nose combined with principal component analysis
Geographical origin identification of propolis using GC–MS and electronic nose combined with principal component analysis
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Geographical origin identification of propolis using GC–MS and electronic nose combined with principal component analysis

Cheng, H. ; Qin, Z.H. ; Guo, X.F. ; Hu, X.S. ; Wu, J.H.

Food research international, 2013-05, Vol.51 (2), p.813-822 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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6
A novel approach to study human posture control: “Principal movements” obtained from a principal component analysis of kinematic marker data
A novel approach to study human posture control: “Principal movements” obtained from a principal component analysis of kinematic marker data
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A novel approach to study human posture control: “Principal movements” obtained from a principal component analysis of kinematic marker data

Federolf, Peter A

Journal of biomechanics, 2016-02, Vol.49 (3), p.364-370 [Periódico revisado por pares]

United States: Elsevier Ltd

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7
Variance The Estimation Eigen Value of Principal Component Analysis and Nonlinear Principal Component Analysis
Variance The Estimation Eigen Value of Principal Component Analysis and Nonlinear Principal Component Analysis
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Variance The Estimation Eigen Value of Principal Component Analysis and Nonlinear Principal Component Analysis

Makkulau ; Tenri Ampa, Andi ; Yahya, Irma ; La Ome, Lilis ; Saidi, La Ode Sanusi, W. ; Naufal, M.A. ; Chen, W.-H. ; Side, S. ; Abd Hamid, N.Z.

ITM web of conferences, 2024, Vol.58, p.4001 [Periódico revisado por pares]

EDP Sciences

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8
Principal component analysis for α-stable vectors
Principal component analysis for α-stable vectors
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Principal component analysis for α-stable vectors

Mohammadi, Mohammad

Communications in statistics. Simulation and computation, 2022-09, Vol.51 (9), p.5245-5263 [Periódico revisado por pares]

Philadelphia: Taylor & Francis

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9
Untangling the complexity of market competition in consumer goods-A complex Hilbert PCA analysis
Untangling the complexity of market competition in consumer goods-A complex Hilbert PCA analysis
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Untangling the complexity of market competition in consumer goods-A complex Hilbert PCA analysis

Mizuno, Makoto ; Aoyama, Hideaki ; Fujiwara, Yoshi Gross, Thilo

PloS one, 2021-02, Vol.16 (2), p.e0245531-e0245531 [Periódico revisado por pares]

United States: Public Library of Science

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10
Dendrograms, heat maps and principal component analysis - the practical use of statistical methods for source apportionment of trace elements in PM10
Dendrograms, heat maps and principal component analysis - the practical use of statistical methods for source apportionment of trace elements in PM10
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Dendrograms, heat maps and principal component analysis - the practical use of statistical methods for source apportionment of trace elements in PM10

Zajusz-Zubek, Elwira ; Mainka, Anna ; Kaczmarek, Konrad

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering, 2023-02, Vol.58 (3), p.163-170 [Periódico revisado por pares]

England: Taylor & Francis

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