Advances in Principal Component Analysis_Research and Development

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Contents
Sparse Principal Component Analysis via Rotation and Truncation . . . 1
Zhenfang Hu, Gang Pan, Yueming Wang and Zhaohui Wu
PCA, Kernel PCA and Dimensionality Reduction
in Hyperspectral Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Aloke Datta, Susmita Ghosh and Ashish Ghosh
Principal Component Analysis in the Presence of Missing Data . . . . . . . 47
Marco Geraci and Alessio Farcomeni
Robust PCAs and PCA Using Generalized Mean . . . . . . . . . . . . . . . . . . 71
Jiyong Oh and Nojun Kwak
Principal Component Analysis Techniques for Visualization
of Volumetric Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
Salaheddin Alakkari and John Dingliana
Outlier-Resistant Data Processing with L1-Norm Principal
Component Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121
Panos P. Markopoulos, Sandipan Kundu, Shubham Chamadia,
Nicholas Tsagkarakis and Dimitris A. Pados
Damage and Fault Detection of Structures Using Principal
Component Analysis and Hypothesis Testing . . . . . . . . . . . . . . . . . . . . . 137
Francesc Pozo and Yolanda Vidal
Principal Component Analysis for Exponential Family Data . . . . . . . . . 193
Meng Lu, Kai He, Jianhua Z. Huang and Xiaoning Qian
Application and Extension of PCA Concepts to Blind Unmixing
of Hyperspectral Data with Intra-class Variability . . . . . . . . . . . . . . . . . 225

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关键词：Development PRINCIPAL Component Research Advances

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