7. WSOM 2009: St. Augustine, FL, USA

• Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura:
  Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated. 1-9
  
• Andreas Andreakis, Nicolai von Hoyningen-Huene, Michael Beetz:
  Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas. 10-18
  
• Argyris Argyrou:
  Clustering Hierarchical Data Using Self-Organizing Map: A Graph-Theoretical Approach. 19-27
  
• Guilherme De A. Barreto, Leonardo Aguayo:
  Time Series Clustering for Anomaly Detection Using Competitive Neural Networks. 28-36
  
• Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen:
  Fault Prediction in Aircraft Engines Using Self-Organizing Maps. 37-44
  
• Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
  Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ. 45-53
  
• Hiroshi Dozono, Shigeomi Hara, Shinsuke Ito, Masanori Nakakuni:
  Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning. 54-62
  
• Pablo A. Estévez, Rodrigo Hernández:
  Gamma SOM for Temporal Sequence Processing. 63-71
  
• Tina Geweniger, D. Zühlke, Barbara Hammer, Thomas Villmann:
  Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means. 72-79
  
• Lutz Herrmann, Alfred Ultsch:
  Clustering with Swarm Algorithms Compared to Emergent SOM. 80-88
  
• Roberto Henriques, Fernando Bação, Victor Sousa Lobo:
  Cartograms, Self-Organizing Maps, and Magnification Control. 89-97
  
• Timo Honkela, Matti Pöllä:
  Concept Mining with Self-Organizing Maps for the Semantic Web. 98-106
  
• Weilin Huang, Hujun Yin:
  ViSOM for Dimensionality Reduction in Face Recognition. 107-115
  
• Manabu Kawashima, Atsushi Shimada, Rin-ichiro Taniguchi:
  Early Recognition of Gesture Patterns Using Sparse Code of Self-Organizing Map. 116-123
  
• Teemu Kinnunen, Joni-Kristian Kämäräinen, Lasse Lensu, Heikki Kälviäinen:
  Bag-of-Features Codebook Generation by Self-Organisation. 124-132
  
• Teuvo Kohonen, Ilari T. Nieminen, Timo Honkela:
  On the Quantization Error in SOM vs. VQ: A Critical and Systematic Study. 133-144
  
• Kai Labusch, Erhardt Barth, Thomas Martinetz:
  Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas. 145-153
  
• Sébastien Massoni, Madalina Olteanu, Patrick Rousset:
  Career-Path Analysis Using Optimal Matching and Self-Organizing Maps. 154-162
  
• Haruna Matsushita, Yoshifumi Nishio:
  Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors. 163-171
  
• Marshall R. Mayberry, Risto Miikkulainen:
  Representing Semantic Graphs in a Self-Organizing Map. 172-181
  
• Rudolf Mayer, Robert Neumayer, Doris Baum, Andreas Rauber:
  Analytic Comparison of Self-Organising Maps. 182-190
  
• Risto Miikkulainen, Swathi Kiran:
  Modeling the Bilingual Lexicon of an Individual Subject. 191-199
  
• Antonio Neme, Sergio Hernández, Omar Neme, Leticia Hernández:
  Self-Organizing Maps with Non-cooperative Strategies (SOM-NC). 200-208
  
• Pyry Niemelä, Timo Honkela:
  Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map. 209-218
  
• Makoto Otani, Kouichi Gunya, Tetsuo Furukawa:
  Line Image Classification by NG×SOM: Application to Handwritten Character Recognition. 219-227
  
• Choonseog Park, Heeyoul Choi, Yoonsuck Choe:
  Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties. 228-236
  
• Jaakko Peltonen:
  Visualization by Linear Projections as Information Retrieval. 237-245
  
• Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene, Marc M. Van Hulle:
  Analyzing Domestic Violence with Topographic Maps: A Comparative Study. 246-254
  
• Jorge Rafael Gutierrez-Pulido, María Andrade-Aréchiga, E. M. R. Michel, G. Reyes, V. Zobin:
  On the Finding Process of Volcano-Domain Ontology Components Using Self-Organizing Maps. 255-263
  
• Atsushi Shimada, Rin-ichiro Taniguchi:
  Elimination of Useless Neurons in Incremental Learnable Self-Organizing Map. 264-271
  
• Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa:
  Hierarchical PCA Using Tree-SOM for the Identification of Bacteria. 272-280
  
• Mats Sjöberg, Jorma Laaksonen:
  Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood. 281-289
  
• Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, Amaury Lendasse:
  Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database. 290-297
  
• Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Helge Ritter:
  Towards Semi-supervised Manifold Learning: UKR with Structural Hints. 298-306
  
• Heizo Tokutaka, Yoshio Maniwa, Eikou Gonda, Masashi Yamamoto, Toshiyuki Kakihara, Masahumi Kurata, Kikuo Fujimura, Li Shigang, Masaaki Ohkita:
  Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis. 307-315
  
• Thomas P. Trappenberg, Pitoyo Hartono, Douglas Rasmusson:
  Top-Down Control of Learning in Biological Self-Organizing Maps. 316-324
  
• Thomas Villmann, Barbara Hammer:
  Functional Principal Component Learning Using Oja's Method and Sobolev Norms. 325-333
  
• Axel Wismüller:
  A Computational Framework for Nonlinear Dimensionality Reduction and Clustering. 334-343
  
• Axel Wismüller:
  The Exploration Machine - A Novel Method for Data Visualization. 344-352
  
• Hujun Yin, He Ni:
  Generalized Self-Organizing Mixture Autoregressive Model. 353-361
  
• Lili Zhang, Erzsébet Merényi, William M. Grundy, Eliot F. Young:
  An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra. 362-371