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» Tentacled Self-Organizing Map for Effective Data Extraction
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IJCNN
2006
IEEE
13 years 10 months ago
Tentacled Self-Organizing Map for Effective Data Extraction
— Since we can accumulate a huge amount of data including useless information in these years, it is important to investigate various extraction method of clusters from data inclu...
Haruna Matsushita, Yoshifumi Nishio
GRC
2010
IEEE
13 years 5 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
ESANN
2006
13 years 6 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
ESANN
2007
13 years 6 months ago
"Kernelized" Self-Organizing Maps for Structured Data
The suitability of the well known kernels for trees, and the lesser known SelfOrganizing Map for Structures for categorization tasks on structured data is investigated in this pap...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
MLDM
2010
Springer
12 years 11 months ago
Creating Product Maps with Self-Organizing Maps for Purchase Decision Making
We propose a way of creating product maps with self-organizing maps (SOMs) for purchase decision making. We previously proposed a way of purchase decision support using SOMs and th...
Kazuhiro Kohara, Tetsuya Tsuda