Advances in self-organising maps : [complete record of the Third Workshop on Self-Organising Maps

This is the third Workshop on Self-Organising Maps (WSOM) and its related techniques. The previous two were held in Helsinki (1997 and 1999) and confIrmed the vitality of the SOM as one of the most popular and powerful concepts for unsupervised pattern recognition and data visualisation. These meetings not only acted as a showcase for the latest advances in SOM theory and for illustrating its vast range of applicability, but also as venues where much informal and fruitful interaction could take place. It is interesting to observe the development of the original SOM, and this remarkable progress confrrms the originality and insight of Teuvo Kohonen's pioneering work. With the range and quality of the papers in this volume, the stage is set for another very successful meeting. This volume is a permanent record of all the contributions presented during WSOM'OI held at the University of Lincolnshire and Humberside, 13 - 15 June, 2001. The University is the newest of England's universities but it is situated in the heart of one of our oldest cities - founded by the Romans and overlooked by the towering mass of its medieval cathedral. Primarily Lincoln has always been a centre for the rich agricultural heartland of England; however, it was the birthplace, 186 years ago, of George Boole. So WSOM'OI is continuing Lincoln's long and honourable tradition of advancing scientific understanding. Front Matter....Pages I-IX Towards an information-theoretic approach to kernel-based topographic map formation....Pages 1-6 A Statistical Tool to Assess the Reliability of Self-Organizing Maps....Pages 7-14 A SOM Association Network....Pages 15-20 A Supervised Self-Organizing Map for Structured Data....Pages 21-28 Human Gait Analysis using SOM*....Pages 29-38 Exploring Financial Crises Data with Self-Organizing Maps (SOM)....Pages 39-46 Analysing Health Inequalities Using SOM....Pages 47-53 Integrating Contextual Information into Text Document Clustering with Self-Organizing Maps....Pages 54-60 Self-Organizing Internet Semantic Network....Pages 61-66 Recursive learning rules for SOMs....Pages 67-72 Induced Voronoï Kernels for Principal Manifolds Approximation....Pages 73-80 Visualisation Induced SOM (ViSOM)....Pages 81-88 An approach to automated interpretation of SOM....Pages 89-94 VQ-Based Clustering Algorithm of Piecewise- Dependent-Data....Pages 95-101 Adaptive Subspace Encoders Using Stochastic Vector Quantisers....Pages 102-109 Shapesom....Pages 110-117 A New Interpolation Algorithm Employing a Self-Organizing Map....Pages 118-123 SOM-Based Exploratory Analysis of Gene Expression Data....Pages 124-131 Exploring power transformer database using Self-Organising Maps (SOM) and Minimal Spanning Tree (MST)....Pages 132-139 Recent Advances with the Growing Hierarchical Self-Organizing Map....Pages 140-145 Self-Organizing Maps of Web Link Information....Pages 146-151 A Design Method of DNA Chips using Self Organizing Maps....Pages 152-159 Multi-Dimensional Self-Organizing Maps on Massively Parallel Hardware....Pages 160-166 A New Method of Hough Transform by Using SOM with Input Vector Transformation....Pages 167-172 Estimating Relevant Input Dimensions for Self-organizing Algorithms....Pages 173-180 An Overview on Unsupervised Learning from Data Mining Perspective....Pages 181-209 Recursive Self-Organizing Maps....Pages 210-215 An investigation into catastrophic interference on a SOM network....Pages 216-223 A Topography-Preserving Latent Variable Model with Learning Metrics....Pages 224-229 Vector Quantization with γ-Observable Neighbors....Pages 230-237 Dynamic Vector Quantization Of Speech....Pages 238-245 Optimization of Electronic Parts Mounting Machines using SOM-TSP Method with 5 Dimensional Data....Pages 246-252 Self-Organising Maps for Condition Assessment of Paper Insulated Cables....Pages 253-258 An Essay in Classifying Self-organizing Maps for Temporal Sequence Processing....Pages 259-266 Evaluating SOM-based models in Text Classification Tasks for the Greek Language....Pages 267-274 Nonlinear Blind Source Separation Using SOMs and Applications to Image Denoising....Pages 275-282 Signal-Based Feature Extraction and SOM based Dimension Reduction in a Vibration Monitoring Microsystem....Pages 283-288 Back Matter....Pages 289-289

The Self-Organising Map (SOM), with its related techniques, is one of the most popular and powerful concepts for unsupervised pattern recognition and data visualisation. Over 3,000 applications have been reported in the open literature, and many commercial projects employ the SOM as the tool for tackling real-world problems.
This volume is a complete record of the Third Workshop on Self-Organising Maps, which brought together the leading international researchers and users for an intensive three-day meeting in Lincoln, UK, and so represents the very latest developments in both theory and application of SOMs and associated approaches.
Topics covered include:
- Pattern recognition and data clustering;
- Unsupervised learning using SOMs and other techniques;
- Data visualisation;
- Commercial and financial applications;
- Multi-dimensional signal processing;
- Component and system design and condition monitoring.