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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 | 978-953-51-0129-1 | |
dc.identifier.uri | http://hdl.handle.net/123456789/130540 | - |
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 taxonomy, biology, pharmacy,finance, agriculture, ecology, health and architecture. | |
dc.language.iso | eng | |
dc.publisher | InTech | |
dc.relation.isbasedon | 10.5772/2694 | |
dc.relation.uri | http://www.intechopen.com/books/principal-component-analysis-multidisciplinary-applications | |
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 - Multidisciplinary Applications | |
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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