Principal component analysis: a review and recent developments
I. Jolliffe, J. Cadima
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A. Katritzky +5 more
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Long-Term Effects of Neurofeedback and Hyperbaric Oxygen Therapy on Traumatic Brain Injury: A Principal Component Analysis (PCA)-Based Secondary Analysis. [PDF]
Peterson T +4 more
europepmc +1 more source
Implementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical Stress. [PDF]
Melgarejo MA +5 more
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Author Correction: Assessment of heat stress contributing factors in the indoor environment among vulnerable populations in Klang Valley using principal component analysis (PCA). [PDF]
Muhamad SN +5 more
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Assessment of heat stress contributing factors in the indoor environment among vulnerable populations in Klang Valley using principal component analysis (PCA). [PDF]
Muhamad SN +5 more
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TL-PCA: Transfer Learning of Principal Component Analysis
Principal component analysis (PCA) can be significantly limited when there is too few examples of the target data of interest. We propose a transfer learning approach to PCA (TL-PCA) where knowledge from a related source task is used in addition to the scarce data of a target task. Our TL-PCA has two versions, one that uses a pretrained PCA solution of
Hendy, Sharon, Dar, Yehuda
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Real-Time Indoor Visible Light Positioning (VLP) Using Long Short Term Memory Neural Network (LSTM-NN) with Principal Component Analysis (PCA). [PDF]
Shu YH, Chang YH, Lin YZ, Chow CW.
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Principal Component Analysis (PCA) in Smart Growth Theory [PDF]
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