Ebook: Advances in Self-Organizing Maps: 9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012 Proceedings
- Tags: Computational Intelligence, Complexity, Artificial Intelligence (incl. Robotics)
- Series: Advances in Intelligent Systems and Computing 198
- Year: 2013
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields.
This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods.
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields.
This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods.
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields.
This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods.
Content:
Front Matter....Pages 1-11
How to Visualize Large Data Sets?....Pages 1-12
On-Line Relational SOM for Dissimilarity Data....Pages 13-22
Non-Euclidean Principal Component Analysis and Oja’s Learning Rule – Theoretical Aspects....Pages 23-33
Classification of Chain-Link and Other Data with Spherical SOM....Pages 35-44
Unsupervised Weight-Based Cluster Labeling for Self-Organizing Maps....Pages 45-54
Controlling Self-Organization and Handling Missing Values in SOM and GTM....Pages 55-64
Opposite Maps for Hard Margin Support Vector Machines....Pages 65-74
Intuitive Volume Exploration through Spherical Self-Organizing Map....Pages 75-84
Using SOM as a Tool for Automated Design of Clustering Systems Based on Fuzzy Predicates....Pages 85-94
From Forced to Natural Competition in a Biologically Plausible Neural Network....Pages 95-104
Sparse Coding Neural Gas Applied to Image Recognition....Pages 105-114
Hand Tracking with an Extended Self-Organizing Map....Pages 115-124
Trajectory Analysis on Spherical Self-Organizing Maps with Application to Gesture Recognition....Pages 125-134
Image Representation Using the Self-Organizing Map....Pages 135-143
Inverse Halftoning by Means of Self-Organizing Maps....Pages 145-152
Restoration Model with Inference Capability of Self-Organizing Maps....Pages 153-162
Improvements in the Visualization of Segmented Areas of Patterns of Dynamic Laser Speckle....Pages 163-171
Online Visualization of Prototypes and Receptive Fields Produced by LVQ Algorithms....Pages 173-182
Efficient Approximations of Kernel Robust Soft LVQ....Pages 183-192
Gradient Based Learning in Vector Quantization Using Differentiable Kernels....Pages 193-204
Nonlinear Time Series Analysis by Using Gamma Growing Neural Gas....Pages 205-214
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps....Pages 215-224
Learning Embedded Data Structure with Self-Organizing Maps....Pages 225-234
Enhancing NLP Tasks by the Use of a Recent Neural Incremental Clustering Approach Based on Cluster Data Feature Maximization....Pages 235-244
Combining Neural Clustering with Intelligent Labeling and Unsupervised Bayesian Reasoning in a Multiview Context for Efficient Diachronic Analysis....Pages 245-254
Lexical Recount between Factor Analysis and Kohonen Map: Mathematical Vocabulary of Arithmetic in the Vernacular Language of the Late Middle Ages....Pages 255-264
Computational Study of Stylistics: Visualizing the Writing Style with Self-Organizing Maps....Pages 265-274
Verification of Metabolic Syndrome Checkup Data with a Self-Organizing Map (SOM): Towards a Simple Judging Tool....Pages 275-284
Analysis of Farm Profitability and the Weighted Upscaling System Using the Self-Organizing Map....Pages 285-294
Professional Trajectories of Workers Using Disconnected Self-Organizing Maps....Pages 295-304
Understanding Firms’ International Growth: A Proposal via Self Organizing Maps....Pages 305-314
Short Circuit Incipient Fault Detection and Supervision in a Three-Phase Induction Motor with a SOM-Based Algorithm....Pages 315-323
The Finnish Car Rejection Reasons Shown in an Interactive SOM Visualization Tool....Pages 325-334
A Model for Mortality Forecasting Based on Self Organizing Maps....Pages 335-343
Paths of Wellbeing on Self-Organizing Maps....Pages 345-352
Exploring Social Systems Dynamics with SOM Variants....Pages 353-362
Back Matter....Pages 0--1
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields.
This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods.
Content:
Front Matter....Pages 1-11
How to Visualize Large Data Sets?....Pages 1-12
On-Line Relational SOM for Dissimilarity Data....Pages 13-22
Non-Euclidean Principal Component Analysis and Oja’s Learning Rule – Theoretical Aspects....Pages 23-33
Classification of Chain-Link and Other Data with Spherical SOM....Pages 35-44
Unsupervised Weight-Based Cluster Labeling for Self-Organizing Maps....Pages 45-54
Controlling Self-Organization and Handling Missing Values in SOM and GTM....Pages 55-64
Opposite Maps for Hard Margin Support Vector Machines....Pages 65-74
Intuitive Volume Exploration through Spherical Self-Organizing Map....Pages 75-84
Using SOM as a Tool for Automated Design of Clustering Systems Based on Fuzzy Predicates....Pages 85-94
From Forced to Natural Competition in a Biologically Plausible Neural Network....Pages 95-104
Sparse Coding Neural Gas Applied to Image Recognition....Pages 105-114
Hand Tracking with an Extended Self-Organizing Map....Pages 115-124
Trajectory Analysis on Spherical Self-Organizing Maps with Application to Gesture Recognition....Pages 125-134
Image Representation Using the Self-Organizing Map....Pages 135-143
Inverse Halftoning by Means of Self-Organizing Maps....Pages 145-152
Restoration Model with Inference Capability of Self-Organizing Maps....Pages 153-162
Improvements in the Visualization of Segmented Areas of Patterns of Dynamic Laser Speckle....Pages 163-171
Online Visualization of Prototypes and Receptive Fields Produced by LVQ Algorithms....Pages 173-182
Efficient Approximations of Kernel Robust Soft LVQ....Pages 183-192
Gradient Based Learning in Vector Quantization Using Differentiable Kernels....Pages 193-204
Nonlinear Time Series Analysis by Using Gamma Growing Neural Gas....Pages 205-214
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps....Pages 215-224
Learning Embedded Data Structure with Self-Organizing Maps....Pages 225-234
Enhancing NLP Tasks by the Use of a Recent Neural Incremental Clustering Approach Based on Cluster Data Feature Maximization....Pages 235-244
Combining Neural Clustering with Intelligent Labeling and Unsupervised Bayesian Reasoning in a Multiview Context for Efficient Diachronic Analysis....Pages 245-254
Lexical Recount between Factor Analysis and Kohonen Map: Mathematical Vocabulary of Arithmetic in the Vernacular Language of the Late Middle Ages....Pages 255-264
Computational Study of Stylistics: Visualizing the Writing Style with Self-Organizing Maps....Pages 265-274
Verification of Metabolic Syndrome Checkup Data with a Self-Organizing Map (SOM): Towards a Simple Judging Tool....Pages 275-284
Analysis of Farm Profitability and the Weighted Upscaling System Using the Self-Organizing Map....Pages 285-294
Professional Trajectories of Workers Using Disconnected Self-Organizing Maps....Pages 295-304
Understanding Firms’ International Growth: A Proposal via Self Organizing Maps....Pages 305-314
Short Circuit Incipient Fault Detection and Supervision in a Three-Phase Induction Motor with a SOM-Based Algorithm....Pages 315-323
The Finnish Car Rejection Reasons Shown in an Interactive SOM Visualization Tool....Pages 325-334
A Model for Mortality Forecasting Based on Self Organizing Maps....Pages 335-343
Paths of Wellbeing on Self-Organizing Maps....Pages 345-352
Exploring Social Systems Dynamics with SOM Variants....Pages 353-362
Back Matter....Pages 0--1
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