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
Published inIntechOpen eBooks
Format eBook
LanguageEnglish
Published IntechOpen 2024
Subjects
Algorithm
Calculus and mathematical analysis
Correlation
Covariance Matrix
Data Compression
Data Mining
Dimensionality Reduction Variance
Eigenvalues
Eigenvectors
Loadings
Mathematics
Mathematics and Science
Numerical analysis
Principal Components
Scree Plot
Online AccessGet full text
ISBN9780854662654
0854662650
0854662669
9780854662678
9780854662661
0854662677
DOI10.5772/intechopen.111238

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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.
ISBN:9780854662654
0854662650
0854662669
9780854662678
9780854662661
0854662677
DOI:10.5772/intechopen.111238