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IMCSIT
2010
13 years 7 months ago
Using Self Organizing Map to Cluster Arabic Crime Documents
This paper presents a system that combines two text mining techniques; information extraction and clustering. A rulebased approach is used to perform the information extraction tas...
Meshrif Alruily, Aladdin Ayesh, Abdulsamad Al-Marg...
ESANN
2006
13 years 11 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
14 years 2 months ago
Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces
This paper introduces a new type of Self-Organizing Map (SOM) for Text Categorization and Semantic Browsing. We propose a “hyperbolic SOM” (HSOM) based on a regular tesselation...
Jörg Ontrup, Helge Ritter
EELC
2006
128views Languages» more  EELC 2006»
14 years 1 months ago
Evolving Distributed Representations for Language with Self-Organizing Maps
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Simon D. Levy, Simon Kirby
GRC
2010
IEEE
13 years 11 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi