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» Self-organizing maps and symbolic data
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IJCNN
2000
IEEE
14 years 8 days ago
Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm
It is often reported in the technique literature that the success of the self-organizing feature map (SOM) formation is critically dependent on the initial weights and the selectio...
Mu-Chun Su, Chien-Hsing Chou, Hsiao-Te Chang
WSOM
2009
Springer
14 years 2 months ago
Career-Path Analysis Using Optimal Matching and Self-Organizing Maps
Abstract. This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distance...
Sébastien Massoni, Madalina Olteanu, Patric...
ACSC
2005
IEEE
14 years 1 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka
CORR
2007
Springer
132views Education» more  CORR 2007»
13 years 7 months ago
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps
In many real-world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable a se...
Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Go...
CGF
2010
189views more  CGF 2010»
13 years 8 months ago
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...