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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collection Directory of Open Access Books
description 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.
format Online
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institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher IntechOpen
publisherStr IntechOpen
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spelling doab-20.500.12854ir-1351832024-04-04T14:41:11Z New Insights on Principal Component Analysis Papaelias, Mayorkinos Vinicio Sánchez Loja, René Pedro García Márquez, Fausto 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 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. 2024-03-07T16:52:00Z 2024-03-07T16:52:00Z 2024 book ONIX_20240307_9780854662654_91 9780854662654 9780854662678 9780854662661 https://directory.doabooks.org/handle/20.500.12854/135183 eng image/jpeg n/a https://www.intechopen.com/books/1003224 https://intech-files.s3.amazonaws.com/a043Y00000zXAyrQAG/0015128_Authors_Book%20%282024-02-15%2009%3A13%3A16%29.pdf IntechOpen IntechOpen 10.5772/intechopen.111238 10.5772/intechopen.111238 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9780854662654 9780854662678 9780854662661 IntechOpen 174 open access
spellingShingle 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
New Insights on Principal Component Analysis
title New Insights on Principal Component Analysis
title_full New Insights on Principal Component Analysis
title_fullStr New Insights on Principal Component Analysis
title_full_unstemmed New Insights on Principal Component Analysis
title_short New Insights on Principal Component Analysis
title_sort new insights on principal component analysis
topic 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
topic_facet 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
url ONIX_20240307_9780854662654_91