TY - CHAP A1 - Prathamesh M. Shenai A2 - Zhiping Xu A3 - Yang Zhao ED1 - Parinya Sanguansat Y1 - 2012-03-07 PY - 2012 T1 - Applications of Principal Component Analysis (PCA) in Materials Science N2 - 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. BT - Principal Component Analysis SP - Ch. 2 UR - https://doi.org/10.5772/37523 DO - 10.5772/37523 SN - PB - IntechOpen CY - Rijeka Y2 - 2020-08-10 ER -