Principal Component Analysis
| dc.contributor.editor | Sanguansat, Parinya | |
| dc.date.accessioned | 2021-04-20T15:22:55Z | |
| dc.date.available | 2021-04-20T15:22:55Z | |
| dc.date.issued | 2012 | |
| dc.identifier | ONIX_20210420_9789535101956_1021 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/65664 | |
| dc.description.abstract | This book is aimed at raising awareness of researchers, scientists and engineers on the benefits of Principal Component Analysis (PCA) in data analysis. In this book, the reader will find the applications of PCA in fields such as image processing, biometric, face recognition and speech processing. It also includes the core concepts and the state-of-the-art methods in data analysis and feature extraction. | |
| dc.language | English | |
| dc.subject.classification | thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics | en_US |
| dc.subject.other | Mathematical modelling | |
| dc.title | Principal Component Analysis | |
| dc.type | book | |
| oapen.identifier.doi | 10.5772/2340 | |
| oapen.relation.isPublishedBy | 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 | |
| oapen.relation.isbn | 9789535101956 | |
| oapen.relation.isbn | 9789535156291 | |
| oapen.imprint | IntechOpen | |
| oapen.pages | 302 |
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