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...
Sábháilte in:
| Formáid: | Online |
|---|---|
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
IntechOpen
2024
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20240307_9780854662654_91 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869522637710950400 |
|---|---|
| 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 |
| id | doab-20.500.12854ir-135183 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| 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 |