Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2019.2928755 ◽

2020 ◽

Vol 31 (6) ◽

pp. 2153-2163 ◽

Author(s):

Shuangyan Yi ◽

Zhenyu He ◽

Xiao-Yuan Jing ◽

Yi Li ◽

Yiu-Ming Cheung ◽

...

Keyword(s):

Principal Component Analysis ◽

Feature Selection ◽

Principal Component ◽

Component Analysis ◽

Sparse Principal Component Analysis ◽

Unsupervised Feature Selection

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Sparse principal component analysis for feature selection of multiple physiological signals from flight task

2015 15th International Conference on Control, Automation and Systems (ICCAS) ◽

10.1109/iccas.2015.7364994 ◽

2015 ◽

Author(s):

Dongbo Bai ◽

Wei Liming ◽

Wei Chan ◽

Qi Wu ◽

Dan Huang ◽

...

Keyword(s):

Principal Component Analysis ◽

Feature Selection ◽

Principal Component ◽

Component Analysis ◽

Physiological Signals ◽

Sparse Principal Component Analysis ◽

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Clustering and feature selection using sparse principal component analysis

Optimization and Engineering ◽

10.1007/s11081-008-9057-z ◽

2008 ◽

Vol 11 (1) ◽

pp. 145-157 ◽

Author(s):

Ronny Luss ◽

Alexandre d’Aspremont

Keyword(s):

Principal Component Analysis ◽

Feature Selection ◽

Principal Component ◽

Component Analysis ◽

Sparse Principal Component Analysis

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Lymphocyte-Monocyte-Neutrophil Index: A Predictor of Severity of Coronavirus Disease 2019 Patients Produced by Sparse Principal Component Analysis

SSRN Electronic Journal ◽

10.2139/ssrn.3576895 ◽

2020 ◽

Author(s):

Jian-an Jia ◽

Yingjie Qi ◽

Huiming Li ◽

Nagen Wan ◽

Shuqin Zhang ◽

...

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Sparse Principal Component Analysis

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Feature Selection for Classification using Principal Component Analysis and Information Gain

Expert Systems with Applications ◽

10.1016/j.eswa.2021.114765 ◽

2021 ◽

Vol 174 ◽

pp. 114765 ◽

Author(s):

Erick Odhiambo Omuya ◽

George Onyango Okeyo ◽

Michael Waema Kimwele

Keyword(s):

Principal Component Analysis ◽

Feature Selection ◽

Information Gain ◽

Principal Component ◽

Component Analysis ◽

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Modified Principal Component Analysis (MPCA) for feature selection of hyperspectral imagery

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477) ◽

10.1109/igarss.2003.1295268 ◽

2004 ◽

Author(s):

Cheng Wang ◽

M. Menenti ◽

Zhao-Liang Li

Keyword(s):

Principal Component Analysis ◽

Feature Selection ◽

Hyperspectral Imagery ◽

Principal Component ◽

Component Analysis ◽

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A novel super-resolution image and video reconstruction approach based on Newton-Thiele’s rational kernel in sparse principal component analysis

Multimedia Tools and Applications ◽

10.1007/s11042-016-3557-1 ◽

2016 ◽

Vol 76 (7) ◽

pp. 9463-9483

Author(s):

Lei He ◽

Jieqing Tan ◽

Xing Huo ◽

Chengjun Xie

Keyword(s):

Principal Component Analysis ◽

Super Resolution ◽

Principal Component ◽

Component Analysis ◽

Sparse Principal Component Analysis ◽

Resolution Image ◽

Video Reconstruction

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Multiclass classification of leukemia cancer data using Fuzzy Support Vector Machine (FSVM) with feature selection using Principal Component Analysis (PCA)

Journal of Physics Conference Series ◽

10.1088/1742-6596/1725/1/012012 ◽

2021 ◽

Vol 1725 ◽

pp. 012012

Author(s):

I R Fauzi ◽

Z Rustam ◽

A Wibowo

Keyword(s):

Principal Component Analysis ◽

Support Vector Machine ◽

Feature Selection ◽

Principal Component ◽

Component Analysis ◽

Multiclass Classification ◽

Support Vector ◽

Fuzzy Support Vector Machine ◽

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Sparse Principal Component Analysis via Rotation and Truncation

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2015.2427451 ◽

2016 ◽

Vol 27 (4) ◽

pp. 875-890 ◽

Author(s):

Zhenfang Hu ◽

Gang Pan ◽

Yueming Wang ◽

Zhaohui Wu

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Sparse Principal Component Analysis

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Human detection using iterative feature selection and logistic principal component analysis

2008 IEEE International Conference on Robotics and Automation ◽

10.1109/robot.2008.4543444 ◽

2008 ◽

Author(s):

Wael Abd-Almageed ◽

Larry Davis

Keyword(s):

Principal Component Analysis ◽

Feature Selection ◽

Principal Component ◽

Component Analysis ◽

Human Detection

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Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)

Journal of Computational and Graphical Statistics ◽

10.1080/10618600.2021.1987254 ◽

2021 ◽

pp. 1-33

Author(s):

H. Robert Frost

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Sparse Principal Component Analysis

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