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,
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
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
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
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
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
Madalina Olteanu .............................................................................................................. p. 259
Quantifying similarity
between time series using the SOM
Hui Liu, José Príncipe, J. Chris Sackellares ..................................................................... p. 267
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
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
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
Syuji
Kaneko, Kazuhiro Tokunaga, Tetsuo Furukawa ...................................................... p. 537
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
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
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
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