TY  - CHAP
AU  - Maz Jamilah Masnan
AU  - Ammar Zakaria
AU  - Ali Yeon Md. Shakaff
AU  - Nor Idayu Mahat
AU  - Hashibah Hamid
AU  - Norazian Subari
AU  - Junita Mohamad Saleh
ED  - Parinya Sanguansat
Y1  - 2012-03-07
PY  - 2012
T1  - Principal Component Analysis – A Realization of Classification Success in Multi Sensor Data Fusion
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. 1
UR  - https://doi.org/10.5772/37459
DO  - 10.5772/37459
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-23
ER  -