WSOM 05 – table of contents

 

Plenary talk I

Pointwise Organizing Projections?

Teuvo Kohonen .....................................................................................................................  p. 1

 

Clustering I

Patterning and clustering ecological assemblages

Muriel Gevrey, Sovan Lek, Thierry Oberdorff, Young Seuk Park ..........................................  p. 9

 

Clustering of context data using k-means with an integrate and fire type neuron model

John Flanagan ...................................................................................................................... p. 17

 

U*F clustering: a new performant “cluster-mining” method based on segmentation

of Self-Organizing Maps

 Fabien Moutarde, Alfred Ultsch ..........................................................................................  p. 25

 

Control I

Design of automotive's complex electronic system based on SOM clustering

Stephan Brummund, Philipp Nenninger, Simmi Saxena, Uwe Kiencke ............................  p. 33

 

Self-organizing adaptive controllers: Application to the inverted pendulum

Tetsuya Minatohara, Tetsuo Furukawa ..............................................................................  p. 41

 

A Recurrent Anticipatory Self-Organized Map for Robust Time Series Prediction

Samarth Swarup, Kiran Lakkaraju, Nicholas Smith, Sylvian Ray ......................................  p. 49

 

Clustering II

Fast vector quantization with topology learning

Marcos M. Campos .............................................................................................................  p. 57

 

An Ant-Based Self-Organizing Feature Maps Algorithm

Chih-Chieh Yang, Sheng-Chai Chi .....................................................................................  p. 65

 

Clustering with SOM: U*C

Alfred Ultsch ........................................................................................................................  p. 75

 

Control II

Control of unknown multivariable systems based on the self-organizing maps

Jeongho Cho, José Príncipe, Mark A. Motter ......................................................................  p. 83

 

Multiple traveling salesmen problem with hierarchy of cities in inspection task with limited

visibility

Jan Faigl, Miroslav Kulich, Libor Přeučil.............................................................................. p. 91

 

Competitive Probabilistic Self-Organizing Map for Routing Problems

Hassan Ghaziri ...................................................................................................................  p. 99

 

Optimizing the SOM for the playstation 2

Stephen McGlinchey .........................................................................................................  p. 107

 

 

 

 

Plenary talk II

Self Organizing Maps for Time Series

Barbara Hammer, Alessio Micheli, Nicolas Neubauer, Alessandro Sperduti, Marc Strickert  p. 115

 

 

Poster session I

Visual explorations in real estate landscape

Eero Carlson, Pekka Rahkila ............................................................................................  p. 123

 

Mnemonic SOMs: Recognizable Shapes for Self-Organizing Maps

Rudolf Mayer, Dieter Merkl, Andreas Rauber ...................................................................  p. 131

 

On visual exploration of breast cancer data using the self-organizing map

Tomas Eklund, Mikael Collan, Päivi Jalava, Teijo Kuopio, Yrjö Collan .............................  p. 139

 

Imprinted gene detection in Arabidopsis thaliana

Reiner Schulz, Sushma Tiwari, Rod Scott, Rebecca Oakey ..........................................  p. 147

 

On equiprobabilistic maps and plausible density estimation

Jorge Muruzábal, Susana Vegas-Azcárate ......................................................................  p. 155

 

Examining the behaviour of the Evolving Tree

Jussi Pakkanen .................................................................................................................  p. 163

 

An Algorithm of SOM using Simulated Annealing in the Batch Update Phase for Sequence

Analysis

Hiroshi Dozono, Hisao Tokushima, Shigeomi Hara, Yoshio Noguchi............................... p. 171

 

Kohonen networks with graph-based augmented metrics

Peter Andras, Olusola Idowu ............................................................................................  p. 179

 

A large-scale Self-Organizing Map (SOM) constructed with the Earth Simulator unveils

sequence characteristics of a wide range of eukaryotic genomes

Takashi Abe, Hideaki Sugawara, Shigehiko Kanaya, Makoto Kinouchi, Yasaburo Matsuura

Heizo Tokutaka, Toshimichi Ikemura ................................................................................  p. 187

 

The SOM reef - A new metaphoric visualization approach for self organizing maps

Tim W. Nattkemper ...........................................................................................................  p. 195

 

Graph-based normalization for non-linear data analysis (II) : application to SOM optimization

Catherine Aaron ................................................................................................................  p. 203

 

Binary SOM Based on Significance of Inputs and its Application to Reproduction of GA

Ryosuke Kubota, Keiichi Horio, Takeshi Yamakawa ........................................................  p. 211

 

Signature verifier based on self-organizing feature map

Pavel Mautner, Václav Matoušek, Tomáš Maršálek .........................................................  p. 219

 

Content adaptive compression of images using neural maps

Udo Seiffert .......................................................................................................................  p. 227

 

Torus Self-Organizing Map for genome informatics

Shinichi Horata, Toshimichi Ikemura, Tetsuyuki Yukawa.................................................. p. 235

 

 

Time series

Using self-organizing maps to adjust  intra-day seasonality

Walid Ben Omrane, Eric DeBodt .....................................................................................  p. 243

 

On the need of unfolding pre-processing for time series clustering

Geoffroy Simon, John A. Lee, Michel Verleysen ...............................................................  p. 251

 

A Descriptive Method to Evaluate the Number of Regimes in a Switching

Autoregressive Model

Madalina Olteanu ..............................................................................................................  p. 259

 

Quantifying similarity between time series using the SOM

Hui Liu, José Príncipe, J. Chris Sackellares .....................................................................  p. 267

 

Neural Gas

Batch neural gas

Marie Cottrell, Barbara Hammer, Alexander Hasenfuss, Thomas Villmann ....................  p. 275

 

Fuzzy labeled neural gas for fuzzy classification

Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger ................  p. 283

 

Efficient Knowledge Extraction using Unsupervised Neural Network Models

Jean-Charles Lamirel, Shadi Al Shehabi ..........................................................................  p. 291

 

Online nonlinear mapping using the neural gas network

Pablo A. Estevez, Cristian J. Figueroa .............................................................................  p. 299

 

Plenary talk III

From Learning Metrics towards Dependency Exploration

Samuel Kaski ....................................................................................................................  p. 307

 

Poster session II

A novel self-organizing network determines the proper cluster structure automatically

Bin Tang, Malcolm Heywood, Michael Shepherd .............................................................  p. 315

 

Spherical SOM with arbitrary number of neurons and measure of suitability

Hirokazu Nishio, Md. Altaf-Ul Amin, Ken Kurokawa, Kotaro Minato, Shigehiko Kanaya ...  p. 323

 

Gradient visualization of grouped component planes on the SOM lattice

Georg Pölzlbauer, Michael Dittenbach, Andreas Rauber .................................................  p. 331

 

Using the self-organizing map to design efficient RBF models for nonlinear channel

equalization

Luís G. M. Souza, Guilherme Barreto, João Mota ............................................................  p. 339

 

A Generative Gaussian Graph to learn the topology of a set of points

Michaël Aupetit ..................................................................................................................  p. 347

 

Competing Behavior of Two Kinds of SOMs and its Application to Clustering

Haruna Matsushita, Yoshifumi Nishio ...............................................................................  p. 355

 

PSOM+: Parametrized Self-Organizing Maps for noisy and incomplete data

Stefan Klanke, Helge Ritter ...............................................................................................  p. 363

 

Robust SOM for realistic data completion

Bertrand Maillet, Paul Merlin, Patrick Rousset ..................................................................  p. 371

 

CASOM: SOM for Contingency  Tables and Biplot,

Rodolphe Priam ................................................................................................................  p. 379

 

Application of Self Organized Maps and Curvilinear Component Analysis to the

Discrimination of the Vesuvius Seismic Signals

Stefano Masiello, Antonietta M. Esposito, Silvia Scarpetta, Flora Giudicepietro,

Anna Esposito, Maria Marinaro.......................................................................................... p. 387

 

mu-SOM: Weighting features during clustering

Sébastien Guérif, Younès Bennani, Eric Janvier ..............................................................  p. 397

 

Controversial empirical results on batch versus one pass online algorithms

Ana Isabel Gonzalez Acuña, Manuel Graña Romay .........................................................  p. 405

 

Batch Learning Algorithm of SOM with Attractive and Repulsive Data

Tetsuo Furukawa, Satoshi Sonoh, Keiichi Horio, Takeshi Yamakawa ............................  p. 413

 

Kernel self-organising maps and mixture networks

Hujun Yin, King Wai Lau ...................................................................................................  p. 421

 

Clustering III

TreeSOM: cluster analysis in the self-organizing map

Elena V. Samsonova, Joost N. Kok, Ad P. IJzerman .......................................................  p. 429

 

Considering topology in the clustering of the Self-Organizing Maps

Kadim Tasdemir, Erzsébet Merényi .................................................................................  p. 439

 

The Profilograph: a toolbox for the analysis and the segmentation of gas load curves

Patrick Letrémy, Valérie Laffite, Sally Showk, Eric Esposito, Marie Cottrell ....................  p. 447

 

New architectures in SOM

Fast spherical self organizing map -Use of indexed geodesic data structure-

Yingxin Wu, Masahiro Takatsuka ......................................................................................  p. 455

 

Enhancing clustering performance of feature maps using randomness

Rasika Amarasiri, Damminda Alahakoon, Malin Premaratne, Kate Smith ......................  p. 463

 

A hierarchically growing hyperbolic self-organizing map for rapid structuring of large data sets

Jörg Ontrup, Helge Ritter ..................................................................................................  p. 471

 

Plenary talk IV

SOMs as a representation infrastructure for signal processing and controls

José Príncipe ....................................................................................................................  p. 479

 

Pattern Recognition

Supervised Learning in Hyper-Column Model

Atsushi Shimada, Naoyuki Tsuruta, Rin-ichiro Taniguchi ................................................  p. 481

 

Using multiple self-organizing architectures for object recognition

Alessio Plebe, Rosaria Grazia Domenella .......................................................................  p. 489

 

The predictive self-organizing map : application to speech features extraction

Bruno Gas, Mohamed Chetouani, Jean-Luc Zarader, Farid Feiz .....................................  p. 497

 

Alternatives to SOM

Geo-SOM and its integration with geographic information systems

Fernando Bação, Victor Lobo, Marco Painho ...................................................................  p. 505

 

Improved Generalization Abilities by Topological Data Mapping

Hirokazu Madokoro, Kazuhito Sato, Masaki Ishii ..............................................................  p. 513

 

Understanding and reducing variability of SOM' neighbourhood structure

Patrick Rousset, Christiane Guinot, Bertrand Maillet .......................................................  p. 521

 

Modular networks

Properties of the topographic product of experts

Colin Fyfe ..........................................................................................................................  p. 529

 

Modular network SOM: The architecture, the algorithm and applications to nonlinear

dynamical systems

Syuji Kaneko, Kazuhiro Tokunaga, Tetsuo Furukawa ......................................................  p. 537

 

SOM2 as "SOM of SOMs"

Tetsuo Furukawa ..............................................................................................................  p. 545

 

Adaptations of SOM

Mass-GRSOM: a flexible rule extraction for classification

SE Papadakis, VG Kaburlasos .........................................................................................  p. 553

 

A fast algorithm for the self-organizing map on dissimilarity data

Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Golli ..........................................................  p. 561

 

A modification of the SOM algorithm to deal with non-symmetric proximities

Manuel Martín-Merino, Alberto Muñoz ...............................................................................  p. 569

 

Plenary talk V

SOM's mathematics

Jean-Claude Fort ..............................................................................................................  p. 579

 

Mathematical aspects of SOM

Dynamical analysis of LVQ type learning rules

Anarta Ghosh, Michael Biehl, Barbara Hammer ...............................................................  p. 587

 

Computing with activities, whu-structures and a quantization model of the neural nets

Matthias Reuter, Sabine Bostelmann ...............................................................................  p. 595

 

Relation between the som algorithm and the distorsion measure

Joseph Rynkiewicz ...........................................................................................................  p. 605

 

Applications in medicine

Analysis of finger plethysmogram using the Self-Organizing Map

Shinya Urase, Yoshio Maniwa, Daisuke Matsushita, Heizo Tokutaka, Kikuo Fujimura,

Masaaki Ohkita, Yutaka Fukui ...........................................................................................  p. 613

 

Application of unsupervised clustering methods to medical imaging

Anke Meyer-Baese, Fabian Theis, P.Gruber, Axel Wismueller, Helge Ritter ...................  p. 621

 

Homeostatic synaptic scaling in self-organizing maps

Thomas Sullivan, Virginia de Sa .......................................................................................  p. 629

 

Nonlinear analysis

Nonlinear ASSOM constituted of autoassociative neural modules

Kazuhiro Tokunaga, Tetsuo Furukawa .............................................................................  p. 637

 

Graph-based normalization for non-linear data analysis (I)

Catherine Aaron ................................................................................................................  p. 645

 

Input Selection and Regression using the SOM

Francesco Corona, Amaury Lendasse ............................................................................  p. 653

 

Genome

'DiPPP' online self-improving linear map for distance-preserving data analysis

Marc Strickert, Sascha Teichmann, Nese Sreenivasulu, Udo Seiffert .............................  p. 661

 

A novel bioinformatics strategy for phylogenetic study of genomic sequence fragments:

 self-organizing map (SOM) of oligonucleotide frequencies

Takashi Abe, Toshimichi Ikemura, Shigehiko Kanaya, Makoto Kinouchi, Hideaki Sugawara  p. 669

 

SOMBRERO: Integrating self-organizing neural networks in the search for DNA binding motifs

Shaun Mahony, Panayiotis Benos, Terry J. Smith, Aaron Golden ...................................  p. 677

 

Plenary talk VI

Applications of Brain-Inspired SOR Network to Controller Design and Knowledge Acquisition

Takanori Koga, Keiichi Horio, Takeshi Yamakawa ...........................................................  p. 687

 

SOM as a projection method

Local multidimensional scaling with controlled tradeoff between trustworthiness and continuity

Jarkko Venna, Samuel Kaski ............................................................................................  p. 695

 

Assessing self organizing maps via contiguity analysis

Ludovic Lebart ...................................................................................................................  p. 703

 

A combined multidimensional scaling + self-organizing maps method for exploratory analysis

 of qualitative data

Elina Miret, Francisco Garcia-Lagos, Gonzalo Joya, Hector Arazoza, Francisco Sandoval p. 711

 

Improvements of the SOM algorithm

Edgeworth-expanded topographic map formation

Marc Van Hulle ..................................................................................................................  p. 719

 

A new criterion to evaluate the stability of SOM

Jérôme Blancher, Guy Lamarque .....................................................................................  p. 725

 

Generalization of the Lp norm for time series and its application to Self-Organizing Maps

John A. Lee, Michel Verleysen ..........................................................................................  p. 733

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