This book constitutes the refereed proceedings of the 7th International Workshop on Advances in Self-Organizing Maps, WSOM 2009, held in St. Augustine, Florida, in June 2009.
The 41 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers deal with topics in the use of SOM in many areas of social sciences, economics, computational biology, engineering, time series analysis, data visualization and theoretical computer science.
Author(s): Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura (auth.), José C. Príncipe, Risto Miikkulainen (eds.)
Series: Lecture Notes in Computer Science 5629 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Language: English
Pages: 374
Tags: Data Mining and Knowledge Discovery; Artificial Intelligence (incl. Robotics); Software Engineering; Algorithm Analysis and Problem Complexity; Simulation and Modeling; Pattern Recognition
Front Matter....Pages -
Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated....Pages 1-9
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas....Pages 10-18
Clustering Hierarchical Data Using Self-Organizing Map: A Graph-Theoretical Approach....Pages 19-27
Time Series Clustering for Anomaly Detection Using Competitive Neural Networks....Pages 28-36
Fault Prediction in Aircraft Engines Using Self-Organizing Maps....Pages 37-44
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ....Pages 45-53
Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning....Pages 54-62
Gamma SOM for Temporal Sequence Processing....Pages 63-71
Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means....Pages 72-79
Clustering with Swarm Algorithms Compared to Emergent SOM....Pages 80-88
Cartograms, Self-Organizing Maps, and Magnification Control....Pages 89-97
Concept Mining with Self-Organizing Maps for the Semantic Web....Pages 98-106
ViSOM for Dimensionality Reduction in Face Recognition....Pages 107-115
Early Recognition of Gesture Patterns Using Sparse Code of Self-Organizing Map....Pages 116-123
Bag-of-Features Codebook Generation by Self-Organisation....Pages 124-132
On the Quantization Error in SOM vs. VQ: A Critical and Systematic Study....Pages 133-144
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas....Pages 145-153
Career-Path Analysis Using Optimal Matching and Self-Organizing Maps....Pages 154-162
Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors....Pages 163-171
Representing Semantic Graphs in a Self-Organizing Map....Pages 172-181
Analytic Comparison of Self-Organising Maps....Pages 182-190
Modeling the Bilingual Lexicon of an Individual Subject....Pages 191-199
Self-Organizing Maps with Non-cooperative Strategies (SOM-NC)....Pages 200-208
Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map....Pages 209-218
Line Image Classification by NG×SOM: Application to Handwritten Character Recognition....Pages 219-227
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties....Pages 228-236
Visualization by Linear Projections as Information Retrieval....Pages 237-245
Analyzing Domestic Violence with Topographic Maps: A Comparative Study....Pages 246-254
On the Finding Process of Volcano-Domain Ontology Components Using Self-Organizing Maps....Pages 255-263
Elimination of Useless Neurons in Incremental Learnable Self-Organizing Map....Pages 264-271
Hierarchical PCA Using Tree-SOM for the Identification of Bacteria....Pages 272-280
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood....Pages 281-289
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database....Pages 290-297
Towards Semi-supervised Manifold Learning: UKR with Structural Hints....Pages 298-306
Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis....Pages 307-315
Top-Down Control of Learning in Biological Self-Organizing Maps....Pages 316-324
Functional Principal Component Learning Using Oja’s Method and Sobolev Norms....Pages 325-333
A Computational Framework for Nonlinear Dimensionality Reduction and Clustering....Pages 334-343
The Exploration Machine – A Novel Method for Data Visualization....Pages 344-352
Generalized Self-Organizing Mixture Autoregressive Model....Pages 353-361
An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra....Pages 362-371
Back Matter....Pages -
