A new approach to robust k-Means clustering based on fuzzy principal component analysis

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) ◽

10.1109/ijcnn.2008.4633791 ◽

2008 ◽

Author(s):

Katsuhiro Honda ◽

Hiromichi Araki ◽

Tomohiro Matsui ◽

Hidetomo Ichihashi

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

New Approach ◽

Fuzzy Principal Component Analysis

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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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Iterated Robust kernel Fuzzy Principal Component Analysis and application to fault detection

Journal of Computational Science ◽

10.1016/j.jocs.2015.11.005 ◽

2016 ◽

Vol 15 ◽

pp. 34-49 ◽

Author(s):

Raoudha Baklouti ◽

Majdi Mansouri ◽

Mohamed Nounou ◽

Hazem Nounou ◽

Ahmed Ben Hamida

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Fuzzy Principal Component Analysis

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A material supplier selection model for property developers using Fuzzy Principal Component Analysis

Automation in Construction ◽

10.1016/j.autcon.2010.02.007 ◽

2010 ◽

Vol 19 (5) ◽

pp. 608-618 ◽

Author(s):

Ka-Chi Lam ◽

Ran Tao ◽

Mike Chun-Kit Lam

Keyword(s):

Principal Component Analysis ◽

Supplier Selection ◽

Principal Component ◽

Component Analysis ◽

Selection Model ◽

Fuzzy Principal Component Analysis ◽

Property Developers

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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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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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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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Fuzzy principal component analysis for sensor fusion

2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) ◽

10.1109/isspa.2012.6310591 ◽

2012 ◽

Author(s):

Ghada Elbanby ◽

Essam El Madbouly ◽

Ahmed Abdalla

Keyword(s):

Principal Component Analysis ◽

Sensor Fusion ◽

Principal Component ◽

Component Analysis ◽

Fuzzy Principal Component Analysis

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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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Robust k-Means Clustering and Fuzzy Principal Component Analysis

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics ◽

10.3156/jsoft.25.3_74 ◽

2013 ◽

Vol 25 (3) ◽

pp. 74-80

Author(s):

Katsuhiro HONDA

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Fuzzy Principal Component Analysis

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Robust Fuzzy Principal Component Analysis (FPCA). A Comparative Study Concerning Interaction of Carbon−Hydrogen Bonds with Molybdenum−Oxo Bonds

Journal of Chemical Information and Computer Sciences ◽

10.1021/ci025524s ◽

2002 ◽

Vol 42 (6) ◽

pp. 1363-1369 ◽

Author(s):

Thomas R. Cundari ◽

Costel Sârbu ◽

Horia F. Pop

Keyword(s):

Principal Component Analysis ◽

Hydrogen Bonds ◽

Comparative Study ◽

Principal Component ◽

Component Analysis ◽

Carbon Hydrogen Bonds ◽

Fuzzy Principal Component Analysis

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