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Principal Component Analysis: Methods, Applications & Technology

Editat de Virginia Gray
en Limba Engleză Paperback – mai 2017
This book provides new research on principal component analysis (PCA). Chapter One introduces typical PCA applications of transcriptomic, proteomic and metabolomic data. Chapter Two studies the factor analysis of an outcome measurement survey for science, technology and society. Chapter Three examines the application of PCA to performance enhancement of hyperspectral radiative transfer computations.
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Specificații

ISBN-13: 9781536108897
ISBN-10: 1536108898
Pagini: 130
Dimensiuni: 155 x 230 x 12 mm
Greutate: 0.24 kg
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers Inc
Locul publicării:United States

Cuprins

Preface; The Principal Component Analysis of Omics Data; A Factor Analysis of an Outcome Measurement Survey for Science, Technology & Society: A Course of General Education Based on PCA; The Application of Principal Component Analysis (PCA) to Performance Enhancement of Hyperspectral Radiative Transfer Computations; Bibliography; Index.