Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories

Tscherepanow M (2012)
In: Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM). Perner P (Ed); Fockendorf, Germany: ibai-publishing: 22-34.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
Incremental on-line learning is an important branch of machine learning. One class of approaches particularly well-suited to such tasks are Adaptive Resonance Theory (ART) neural networks. This paper presents a novel ART network combining the ability of noise-insensi\-tive, incremental clustering and topology learning at different levels of detail from TopoART with Euclidean similarity measures and hyperspherical categories from Hypersphere ART. As a result of the modified internal representations, several limitations of the original TopoART network are lifted. In particular, the presented network can process arbitrarily scaled values even if their range is not entirely known in advance.
Stichworte
Incremental learning; Hierarchical clustering; TopoART; Adaptive Resonance Theory; On-line learning
Erscheinungsjahr
2012
Titel des Konferenzbandes
Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM)
Seite(n)
22-34
Konferenz
Industrial Conference on Data Mining (ICDM)
Konferenzort
Berlin, Germany
Konferenzdatum
2012-07-13
ISBN
978-3-942952-17-0
ISSN
1864-9734
Page URI
https://pub.uni-bielefeld.de/record/2498997

Zitieren

Tscherepanow M. Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories. In: Perner P, ed. Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM). Fockendorf, Germany: ibai-publishing; 2012: 22-34.
Tscherepanow, M. (2012). Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories. In P. Perner (Ed.), Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM) (pp. 22-34). Fockendorf, Germany: ibai-publishing.
Tscherepanow, M. (2012). “Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories” in Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM), Perner, P. ed. (Fockendorf, Germany: ibai-publishing), 22-34.
Tscherepanow, M., 2012. Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories. In P. Perner, ed. Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM). Fockendorf, Germany: ibai-publishing, pp. 22-34.
M. Tscherepanow, “Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories”, Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM), P. Perner, ed., Fockendorf, Germany: ibai-publishing, 2012, pp.22-34.
Tscherepanow, M.: Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories. In: Perner, P. (ed.) Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM). p. 22-34. ibai-publishing, Fockendorf, Germany (2012).
Tscherepanow, Marko. “Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories”. Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM). Ed. Petra Perner. Fockendorf, Germany: ibai-publishing, 2012. 22-34.
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2019-09-06T09:18:03Z
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