TY - CHAP A1 - Yared Kassahun Kebede A2 - Tesfu Kebedee ED1 - Parinya Sanguansat Y1 - 2012-03-07 PY - 2012 T1 - Application of Principal Component Analysis in Surface Water Quality Monitoring 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. 5 UR - https://doi.org/10.5772/38049 DO - 10.5772/38049 SN - PB - IntechOpen CY - Rijeka Y2 - 2019-11-12 ER -