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http://localhost:8080/xmlui/handle/123456789/130539Full metadata record
| 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 | 978-953-51-0182-6 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/130539 | - |
| 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 energy, multi-sensor data fusion, materials science, gas chromatographic analysis, ecology, video and image processing, agriculture, color coating, climate and automatic target recognition. | |
| dc.language.iso | eng | |
| dc.publisher | InTech | |
| dc.relation.isbasedon | 10.5772/2693 | |
| dc.relation.uri | http://www.intechopen.com/books/principal-component-analysis-engineering-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 - Engineering 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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