Applications of Self-Organizing Maps

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2nd Ed. – ITAvE, 2016. – 298 p. – ISBN: 953510862X.
This issue is about how the original self-organizing map as well as variants and extensions of it can be applied in different fields. A wide range of applications is discussed - 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.
The self-organizing map, first described by the Finnish scientist Teuvo Kohonen, can by applied to a wide range of fields.
Contents
Graph Mining Based SOM: ATool to Analyze Economic Stability
Social Interaction and Self-Organizing Maps
Using Wavelets for Feature Extraction and Self Organizing Maps for Fault Diagnosis of Nonlinear Dynamic Systems
Ex-Post Clustering of Brazilian Beef Cattle Farms Using Soms and Cross-Evaluation Dea Models
A Self - Organizing Map Based Strategy for Heterogeneous Teaming
Application of Self Organizing Maps to Multi Modal Adaptive Authentication System Using Behavior Biometrics
Quantification of Emotions for Facial Expression: Generation of Emotional Feature Space Using Self-Mapping
A Self Organizing Map Based Motion Classifier with an Extension to Fall Detection Problem and Its Implementation on a Smartphone
Using Self-Organizing Maps to Visualize, Filter and Cluster Multidimensional Bio-Omics Data
Application of Self-Organizing Maps in Text Clustering: A Review
Non-Linear Spatial Patterning in Cultural Site Formation Processes - The Evidence from Micro-Artefacts in Cores from a Neolithic Tell Site in Greece
Spatial Clustering Using Hierarchical SOM
Self-Organizing Maps: A Powerful Tool for the Atmospheric Sciences
Image Simplification Using Kohonen Maps: Application to Satellite Data for Cloud Detection and Land Cover Mapping

Author(s): Johnsson M. (Ed.)

Language: English
Commentary: 1858250
Tags: Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных