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New Insights on Principal Component Analysis

This book on Principal Component Analysis (PCA) extensively explores the core analyses and case studies within this field, incorporating the latest advancements. Each chapter delves into various disciplines like engineering, administration, economics, and technology, showcasing diverse applications...

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Bibliographic Details
Main Author: Papaelias, Mayorkinos
Other Authors: Vinicio Sánchez Loja, René, Pedro García Márquez, Fausto
Format: eBook
Language:English
Published: IntechOpen 2024
Subjects:
Eigenvalues
Data Mining
Scree Plot
Covariance Matrix
Eigenvectors
Data Compression
Algorithm
Dimensionality Reduction Variance
Loadings
Correlation
Principal Components
Numerical Analysis / Bicssc
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:This book on Principal Component Analysis (PCA) extensively explores the core analyses and case studies within this field, incorporating the latest advancements. Each chapter delves into various disciplines like engineering, administration, economics, and technology, showcasing diverse applications and the utility of PCA. The book emphasizes the integration of PCA with other algorithms and methodologies, highlighting the enhancements achieved through combined approaches. Moreover, the book elucidates updated versions or iterations of PCA, detailing their descriptions and practical applications.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/
Physical Description:1 electronic resource (174 p.)
ISBN:9780854662678
9780854662661
intechopen.111238
9780854662654

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