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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Natura:	Online
Lingua:	inglese
Pubblicazione:	IntechOpen 2024
Soggetti:	Eigenvectors Eigenvalues Covariance Matrix Data Mining Dimensionality Reduction Variance Correlation Principal Components Data Compression Scree Plot Loadings Algorithm thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis
Accesso online:	ONIX_20240307_9780854662654_91
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