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The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data
by
Rauber, A.
,
Merkl, D.
,
Dittenbach, M.
Published in
IEEE transactions on neural networks
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Uncovering hierarchical structure in data using the growing hierarchical self-organizing map
by
Dittenbach, Michael
,
Rauber, Andreas
,
Merkl, Dieter
Published in
Neurocomputing (Amsterdam)
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The growing hierarchical self-organizing map
by
Dittenbach, M.
,
Merkl, D.
,
Rauber, A.
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A visualization technique for self-organizing maps with vector fields to obtain the cluster structure at desired levels of detail
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Polzlbauer, G.
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Dittenbach, M.
,
Rauber, A.
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Investigation of alternative strategies and quality measures for controlling the growth process of the growing hierarchical self-organizing map
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Dittenbach, M.
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Rauber, A.
,
Polzlbauer, G.
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Business, Culture, Politics, and Sports How to Find Your Way through a Bulk of News? On Content-Based Hierarchical Structuring and Organization of Large Document Archives
by
Dittenbach, Michael
,
Rauber, Andreas
,
Merkl, Dieter
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Activation on the Move: Querying Tourism Information via Spreading Activation
by
Berger, Helmut
,
Dittenbach, Michael
,
Merkl, Dieter
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Analyzing the Effect of Document Representation on Machine Learning Approaches in Multi-Class e-Mail Filtering
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Berger, H.
,
Dittenbach, M.
,
Merkl, D.
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Automated Concept Discovery from Web Resources
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Dittenbach, M.
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Berger, H.
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Merkl, D.
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