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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Parinya Sanguansat | |
dc.date.accessioned | 2017-04-30T13:31:08Z | - |
dc.date.available | 2017-04-30T13:31:08Z | - |
dc.date.issued | 2012 | |
dc.identifier.isbn | 978-953-51-0195-6 | |
dc.identifier.uri | http://hdl.handle.net/123456789/130538 | - |
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.iso | eng | |
dc.publisher | InTech | |
dc.relation.isbasedon | 10.5772/2340 | |
dc.relation.uri | http://www.intechopen.com/books/principal-component-analysis | |
dc.rights.uri | CC by (姓名標示) | |
dc.source | InTech | |
dc.subject.classification | Computer and Information Science | |
dc.subject.classification | Numerical Analysis and Scientific Computing | |
dc.title | Principal Component Analysis | |
dc.type | 電子教課書 | |
dc.classification | 自然科學類 | |
Theme: | 教科書-自然科學類 |
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