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Principal Component Analysis
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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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Keywords
- applied mathematics
- mathematical modelling
- Mathematics
- Mathematics & science
Links
DOI: 10.5772/2693Editions