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Marina RestaProfessor, Assistant
University of Genova, Italy
Marina Resta
INFORMATICALT
2002
107views more  INFORMATICALT 2002»
10 years 11 months ago
Comparative Analysis of the Graphical Result Presentation in the SOM Software
In the paper, we analyze the software that realizes the self-organizing maps: SOM-PAK, SOM-TOOLBOX, Viscovery SOMine, Nenet, and two academic systems. Most of the software may be f...
Gintautas Dzemyda, Olga Kurasova
DATAMINE
2010
120views more  DATAMINE 2010»
10 years 12 months ago
A weighted voting summarization of SOM ensembles
Abstract Weighted Voting Superposition (WeVoS) is a novel summarization algorithm for the results of an ensemble of Self-Organizing Maps. Its principal aim is to achieve the lowest...
Bruno Baruque, Emilio Corchado
ESANN
2004
11 years 1 months ago
Theory and applications of neural maps
In this tutorial paper about neural maps we review the current state in theoretical aspects like mathematical treatment of convergence, ordering and topography, magnification and o...
Thomas Villmann, Udo Seiffert, Axel Wismüller
ESANN
2004
11 years 1 months ago
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps
Abstract. The use of self-organizing maps to analyze data often depends on finding effective methods to visualize the SOM's structure. In this paper we propose a new way to pe...
Cesar García-Osorio, Jesús Maudes, C...
INEX
2005
Springer
11 years 5 months ago
Clustering XML Documents Using Self-organizing Maps for Structures
Self-Organizing Maps capable of encoding structured information will be used for the clustering of XML documents. Documents formatted in XML are appropriately represented as graph ...
Markus Hagenbuchner, Alessandro Sperduti, Ah Chung...
CIBCB
2006
IEEE
11 years 5 months ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel
ADBIS
2007
Springer
145views Database» more  ADBIS 2007»
11 years 6 months ago
A Method for Comparing Self-organizing Maps: Case Studies of Banking and Linguistic Data
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
Toomas Kirt, Ene Vainik, Leo Vohandu
IFGIS
2009
Springer
11 years 6 months ago
Application of Self-Organizing Maps to the Maritime Environment
Self-Organizing Maps (SOMs), or Kohonen networks, are widely used neural network architecture. This paper starts with a brief overview of how SOMs can be used in different types of...
Victor Sousa Lobo
ICML
1995
IEEE
12 years 19 days ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
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