Principal component analysis : : engineering applications / / edited by Parinya Sanguansat.
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 chromatograph...
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| Place / Publishing House: | Rijeka, Croatia : : InTech,, [2012] ©2012 |
| Year of Publication: | 2012 |
| Language: | English |
| Physical Description: | 1 online resource (232 pages) |
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| 588 | |a Description based on: online resource; title from PDF information screen (InTech, viewed October 17, 2022). | ||
| 520 | |a 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. | ||
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