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- 300 pages
- English
- PDF
- Available on iOS & Android
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Applications of Self-Organizing Maps
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About This Book
The self-organizing map, first described by the Finnish scientist Teuvo Kohonen, can by applied to a wide range of fields. This book is about such applications, i.e. how the original self-organizing map as well as variants and extensions of it can be applied in different fields. In fourteen chapters, a wide range of such applications is discussed. To name a few, these applications include the analysis of financial stability, the fault diagnosis of plants, the creation of well-composed heterogeneous teams and the application of the self-organizing map to the atmospheric sciences.
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Yes, you can access Applications of Self-Organizing Maps by Magnus Johnsson in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Interacción persona-computadora. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Applications of Self-Organizing Maps
- Contents
- Preface
- Chapter 1 Graph Mining Based SOM: A Tool to Analyze Economic Stability
- Chapter 2 Social Interaction and Self-Organizing Maps
- Chapter 3 Using Wavelets for Feature Extraction and Self Organizing Maps for Fault Diagnosis of Nonlinear Dynamic Systems
- Chapter 4 Ex-Post Clustering of Brazilian Beef Cattle Farms Using Soms and Cross-Evaluation Dea Models
- Chapter 5 A Self – Organizing Map Based Strategy for Heterogeneous Teaming
- Chapter 6 Application of Self Organizing Maps to Multi Modal Adaptive Authentication System Using Behavior Biometrics
- Chapter 7 Quantification of Emotions for Facial Expression: Generation of Emotional Feature Space Using Self-Mapping
- Chapter 8 A Self Organizing Map Based Motion Classifier with an Extension to Fall Detection Problem and Its Implementation on a Smartphone
- Chapter 9 Using Self-Organizing Maps to Visualize, Filter and Cluster Multidimensional Bio-Omics Data
- Chapter 10 Application of Self-Organizing Maps in Text Clustering: A Review
- Chapter 11 Non-Linear Spatial Patterning in Cultural Site Formation Processes - The Evidence from Micro-Artefacts in Cores from a Neolithic Tell Site in Greece
- Chapter 12 Spatial Clustering Using Hierarchical SOM
- Chapter 13 Self-Organizing Maps: A Powerful Tool for the Atmospheric Sciences
- Chapter 14 Image Simplification Using Kohonen Maps: Application to Satellite Data for Cloud Detection and Land Cover Mapping