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» Clustering of Self-Organizing Map
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ESANN
2006
13 years 9 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
IJCNN
2006
IEEE
14 years 2 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
ICANN
2003
Springer
14 years 1 months ago
Weighted Self-Organizing Maps: Incorporating User Feedback
One interesting way of accessing collections of multimedia objects is by methods of visualization and clustering. Growing self-organizing maps provide such a solution, which adapts...
Andreas Nürnberger, Marcin Detyniecki
ICONIP
2009
13 years 6 months ago
A Study on Clustering Method by Self-Organizing Map and Information Criteria
In this paper, we propose a clustering method by SOM and information criteria. In this method, initial cluster-candidates are derived by SOM, and then these candidates are merged a...
Satoru Kato, Tadashi Horiuchi, Yoshio Itoh
ESANN
2004
13 years 9 months ago
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
David Opolon, Fabien Moutarde