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Tormod Næs
Multiblock Data Fusion in Statistics and Machine Learning
Читать книгу Multiblock Data Fusion in Statistics and Machine Learning - Tormod Næs - Страница 1
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Страница 1
Multiblock Data Fusion in Statistics and Machine Learning Applications in the Natural and Life Sciences
Страница 3
Contents
List of Figures
List of Tables
Guide
Pages
Foreword
Preface
List of Figures
List of Tables
Страница 13
1 Introduction 1.1 Scope of the Book
Glossary of terms
1.2 Potential Audience
1.3 Types of Data and Analyses 1.3.1 Supervised and Unsupervised Analyses
1.3.2 High-, Mid- and Low-level Fusion
ELABORATION 1.2 High Level Supervised Fusion
1.3.3 Dimension Reduction
1.3.4 Indirect Versus Direct Data
1.3.5 Heterogeneous Fusion
1.4 Examples
1.4.1 Metabolomics
Terms in metabolomics and proteomics
Example 1.1: Metabolomics example: plant science data
1.4.2 Genomics
ELABORATION 1.4 Terms in genomics
Example 1.2: Genetics example
1.4.3 Systems Biology
ELABORATION 1.5 Terms in systems biology
1.4.4 Chemistry
ELABORATION 1.6 Terms in chemistry
Example 1.3: Chemistry example: Raman spectroscopy data
1.4.5 Sensory Science
ELABORATION 1.7 Terms in sensory analysis
Example 1.4: Sensory example: consumer liking
1.5 Goals of Analyses
1.6 Some History
1.7 Fundamental Choices
1.8 Common and Distinct Components
ELABORATION 1.8 Common and distinct in spectroscopy
1.9 Overview and Links
1.10 Notation and Terminology
1.11 Abbreviations
Notes
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