Graph projection techniques for self-organizing maps

ESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks

Volumn , Issue , 2007, Pages 533-538

  Pölzlbauer, Georg ^a   Rauber, Andreas ^a   Dittenbach, Michael ^b  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b E Commerce Competence Center   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

DENSE REGION; DISTANCE CALCULATION; GRAPH STRUCTURES; NEAREST NEIGHBORS; NEURAL NETWORK MODEL; NOVEL TECHNIQUES; PROJECTION TECHNIQUES; VISUALIZATION TECHNIQUE;

NEURAL NETWORKS;

CONFORMAL MAPPING;

EID: 84886999298     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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3. J. Vesanto. Data Exploration Process Based on the Self-Organizing Map. PhD thesis, Helsinki University of Technology, 2002.
4. A. Ultsch. Maps for the visualization of high-dimensional data spaces. In Proc. Workshop on Self organizing Maps, Kyushu, Japan, 2003.
5. E. Pampalk, A. Rauber, and D. Merkl. Using smoothed data histograms for cluster visualization in self-organizing maps. In Proc. Intl. Conf. on Artifical Neural Networks (ICANN'02), Madrid, Spain, 2002. Springer.
6. M. Aupetit. High-dimensional labeled data analysis with gabriel graphs. In Proc. Intl. European Symp. on Artificial Neural Networks (ESANN'03), Bruges, Belgium, 2003. D-side publications.
7. D. Polani. Measures for the organization of self-organizing maps. In Udo Seiffert and Lakhmi C. Jain, editors, Self-Organizing Neural Networks: Recent Advances and Applications, pages 13-44. Physica-Verlag, 2002.
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9. G. Pölzlbauer, A. Rauber, and M. Dittenbach. Advanced visualization techniques for self-organizing maps with graph-based methods. In Proc. International Symposium on Neural Networks (ISSN'05), Chongqing, China, 2005.