Automated Model Selection in Principal Component Analysis: A New Approach Based on the Cross-Validated Ignorance Score

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.9b00642 ◽

2019 ◽

Vol 58 (30) ◽

pp. 13448-13468 ◽

Author(s):

Stefania Russo ◽

Guangyu Li ◽

Kris Villez

Keyword(s):

Principal Component Analysis ◽

Model Selection ◽

Principal Component ◽

Component Analysis ◽

New Approach ◽

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New approach based on fuzzy logic and principal component analysis for the classification of two-dimensional maps in health and disease

Journal of Chromatography A ◽

10.1016/s0021-9673(03)00852-5 ◽

2003 ◽

Vol 1004 (1-2) ◽

pp. 13-28 ◽

Author(s):

Emilio Marengo ◽

Elisa Robotti ◽

Pier Giorgio Righetti ◽

Francesca Antonucci

Keyword(s):

Principal Component Analysis ◽

Fuzzy Logic ◽

Principal Component ◽

Component Analysis ◽

Two Dimensional ◽

New Approach ◽

Health And Disease

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Local‐Scale Rainy Season Onset Detection: A New Approach Based on Principal Component Analysis and its Application to Vietnam

International Journal of Climatology ◽

10.1002/joc.7441 ◽

2021 ◽

Author(s):

Ha Pham‐Thanh ◽

Tan Phan‐Van ◽

Andreas H. Fink ◽

Roderick Linden

Keyword(s):

Principal Component Analysis ◽

Rainy Season ◽

Principal Component ◽

Component Analysis ◽

Local Scale ◽

Onset Detection ◽

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Author response for "Model selection techniques for sparse weight‐based principal component analysis"

10.1002/cem.3289/v2/response1 ◽

2020 ◽

Author(s):

Niek C. Schipper ◽

Katrijn Van Deun

Keyword(s):

Principal Component Analysis ◽

Model Selection ◽

Principal Component ◽

Component Analysis ◽

Author Response

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Decision letter for "Model selection techniques for sparse weight‐based principal component analysis"

10.1002/cem.3289/v2/decision1 ◽

2020 ◽

Keyword(s):

Principal Component Analysis ◽

Model Selection ◽

Principal Component ◽

Component Analysis

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Review for "Model selection techniques for sparse weight‐based principal component analysis"

10.1002/cem.3289/v1/review2 ◽

2020 ◽

Keyword(s):

Principal Component Analysis ◽

Model Selection ◽

Principal Component ◽

Component Analysis

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The principle of exhaustiveness versus the principle of parsimony: a new approach for the identification of biomarkers from proteomic spot volume datasets based on principal component analysis

Analytical and Bioanalytical Chemistry ◽

10.1007/s00216-009-3390-8 ◽

2010 ◽

Vol 397 (1) ◽

pp. 25-41 ◽

Author(s):

Emilio Marengo ◽

Elisa Robotti ◽

Marco Bobba ◽

Fabio Gosetti

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

New Approach ◽

Principle Of Parsimony ◽

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A new approach to selecting a regionalized design hyetograph by principal component analysis and analytic hierarchy process

Paddy and Water Environment ◽

10.1007/s10333-011-0294-y ◽

2011 ◽

Vol 11 (1-4) ◽

pp. 73-85 ◽

Author(s):

Hui-Chung Yeh ◽

Yen-Chang Chen ◽

Chiang Wei

Keyword(s):

Principal Component Analysis ◽

Analytic Hierarchy Process ◽

Principal Component ◽

Component Analysis ◽

Analytic Hierarchy ◽

New Approach ◽

Hierarchy Process

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Author response for "Model selection techniques for sparse weight‐based principal component analysis"

10.1002/cem.3289/v4/response1 ◽

2020 ◽

Author(s):

Niek C. Schipper ◽

Katrijn Van Deun

Keyword(s):

Principal Component Analysis ◽

Model Selection ◽

Principal Component ◽

Component Analysis ◽

Author Response

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Decision letter for "Model selection techniques for sparse weight‐based principal component analysis"

10.1002/cem.3289/v4/decision1 ◽

2020 ◽

Keyword(s):

Principal Component Analysis ◽

Model Selection ◽

Principal Component ◽

Component Analysis

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Principal component analysis of the cross-axis apparent mass nonlinearity during whole-body vibration

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.107008 ◽

2021 ◽

Vol 146 ◽

pp. 107008 ◽

Author(s):

Ya Huang ◽

Neil Ferguson

Keyword(s):

Principal Component Analysis ◽

Whole Body Vibration ◽

Principal Component ◽

Component Analysis ◽

Apparent Mass ◽

Body Vibration ◽

The Cross ◽

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