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Book synopsis

This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into set of values of linearly uncorrelated variables called principal components. The aim of this book is to enhance knowledge of scientists, engineers and researchers regarding the advantages of this technique in data analysis and includes information on the uses of PCA in distinct fields like multi-sensor data fusion, ecology, energy, agriculture, climate, image and video processing, gas chromatographic examination, color coating, materials science and automatic target identification.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Principal Component Analysis Handbook
• Author: Rebecca Cross
• Language: English
• Binding: Hardback
• Number of pages: 232
• EAN: 9781632404169
• ISBN: 1632404168
• ID: 12435703
• Publisher: CLANRYE INTERNATIONAL
• Weight: 498 g
• Dimensions: 159 × 236 × 20 mm
• Date of publishing: 19. February 2015

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