Topographic Mapping of Dissimilarity Data
Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X (2011)
In: Advances in Self-Organizing Maps. Laaksonen J, Honkela T (Eds); Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg: 1-15.
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| Veröffentlicht | Englisch
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Autor*in
Hammer, BarbaraUniBi 
;
Gisbrecht, AndrejUniBi;
Hasenfuss, Alexander;
Mokbel, BassamUniBi;
Schleif, Frank-MichaelUniBi ;
Zhu, XibinUniBi
;
Gisbrecht, AndrejUniBi;
Hasenfuss, Alexander;
Mokbel, BassamUniBi;
Schleif, Frank-MichaelUniBi ;
Zhu, XibinUniBiHerausgeber*in
Laaksonen, Jorma;
Honkela, Timo
Abstract / Bemerkung
Topographic mapping offers a very flexible tool to inspect large quantities of high-dimensional data in an intuitive way. Often, electronic data are inherently non-Euclidean and modern data formats are connected to dedicated non-Euclidean dissimilarity measures for which classical topographic mapping cannot be used. We give an overview about extensions of topographic mapping to general dissimilarities by means of median or relational extensions. Further, we discuss efficient approximations to avoid the usually squared time complexity.
Erscheinungsjahr
2011
Buchtitel
Advances in Self-Organizing Maps
Serientitel
Lecture Notes in Computer Science
Seite(n)
1-15
ISBN
978-3-642-21565-0
eISBN
978-3-642-21566-7
ISSN
0302-9743
eISSN
1611-3349
Page URI
https://pub.uni-bielefeld.de/record/2982113
Zitieren
Hammer B, Gisbrecht A, Hasenfuss A, Mokbel B, Schleif F-M, Zhu X. Topographic Mapping of Dissimilarity Data. In: Laaksonen J, Honkela T, eds. Advances in Self-Organizing Maps. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg; 2011: 1-15.
Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F. - M., & Zhu, X. (2011). Topographic Mapping of Dissimilarity Data. In J. Laaksonen & T. Honkela (Eds.), Lecture Notes in Computer Science. Advances in Self-Organizing Maps (pp. 1-15). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-21566-7_1
Hammer, Barbara, Gisbrecht, Andrej, Hasenfuss, Alexander, Mokbel, Bassam, Schleif, Frank-Michael, and Zhu, Xibin. 2011. “Topographic Mapping of Dissimilarity Data”. In Advances in Self-Organizing Maps, ed. Jorma Laaksonen and Timo Honkela, 1-15. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg.
Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F. - M., and Zhu, X. (2011). “Topographic Mapping of Dissimilarity Data” in Advances in Self-Organizing Maps, Laaksonen, J., and Honkela, T. eds. Lecture Notes in Computer Science (Berlin, Heidelberg: Springer Berlin Heidelberg), 1-15.
Hammer, B., et al., 2011. Topographic Mapping of Dissimilarity Data. In J. Laaksonen & T. Honkela, eds. Advances in Self-Organizing Maps. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 1-15.
B. Hammer, et al., “Topographic Mapping of Dissimilarity Data”, Advances in Self-Organizing Maps, J. Laaksonen and T. Honkela, eds., Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp.1-15.
Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F.-M., Zhu, X.: Topographic Mapping of Dissimilarity Data. In: Laaksonen, J. and Honkela, T. (eds.) Advances in Self-Organizing Maps. Lecture Notes in Computer Science. p. 1-15. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
Hammer, Barbara, Gisbrecht, Andrej, Hasenfuss, Alexander, Mokbel, Bassam, Schleif, Frank-Michael, and Zhu, Xibin. “Topographic Mapping of Dissimilarity Data”. Advances in Self-Organizing Maps. Ed. Jorma Laaksonen and Timo Honkela. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. Lecture Notes in Computer Science. 1-15.
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