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» Behavior Classification with Self-Organizing Maps
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SEDE
2007
13 years 8 months ago
Self-organizing map based web pages clustering using web logs
A Web-based business always wants to have the ability to track users’ browsing behavior history. This ability can be achieved by using Web log mining technologies. In this paper...
Dehu Qi, Chung-Chih Li
ICIAP
2007
ACM
14 years 7 months ago
Transformation invariant SOM clustering in Document Image Analysis
In this paper, we propose the combination of the Self Organizing Map (SOM) and of the tangent distance for effective clustering in Document Image Analysis. The proposed model (SOM...
Simone Marinai, Emanuele Marino, Giovanni Soda
ESANN
2004
13 years 8 months ago
Visual person tracking with a Supervised Conditioning-SOM
The classification problem of determining if a surveillance camera sees persons is tackled with two neural models: the Self-Organizing Map (SOM) with supervision as in a classical ...
J. David Buldain Pérez, José El&iacu...
NN
2006
Springer
113views Neural Networks» more  NN 2006»
13 years 7 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter
DCAI
2008
13 years 9 months ago
Solving the Oil Spill Problem Using a Combination of CBR and a Summarization of SOM Ensembles
. In this paper, a forecasting system is presented. It predicts the presence of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning methodolo...
Aitor Mata, Emilio Corchado, Bruno Baruque