Uncovering hierarchical structure in data using the growing hierarchical self-organizing map
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Publication:1851965
DOI10.1016/S0925-2312(01)00655-5zbMath1006.68798MaRDI QIDQ1851965
Michael Dittenbach, Andreas Rauber, Dieter Merkl
Publication date: 9 January 2003
Published in: Neurocomputing (Search for Journal in Brave)
Data miningExploratory data analysisDocument classificationSelf-organizing map (SOM)Unsupervised hierarchical clustering
Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)
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Multiscale cancer modeling: In the line of fast simulation and chemotherapy ⋮ Growing self-organizing trees for autonomous hierarchical clustering ⋮ Advanced visualization of self-organizing maps with vector fields ⋮ TreeSOM: cluster analysis in the self-organizing map
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