Data visualization method for growing self-organizing networks with ant clustering algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2159, Issue , 2001, Pages 623-626

  Mikami, Tsuyoshi ^a   Wada, Mitsuo ^b  

^a TOMAKOMAI NATIONAL COLLEGE OF TECHNOLOGY   (Japan)

^b HOKKAIDO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA VISUALIZATION; VISUALIZATION;

ANT CLUSTERING; ANT CLUSTERING ALGORITHM; GROWING SELF-ORGANIZING NETWORKS; HIGH DIMENSIONAL CLUSTERS; HIGH DIMENSIONAL DATA; TWO-DIMENSIONAL FEATURES; VISUALIZATION METHOD;

CLUSTERING ALGORITHMS;

EID: 84949817605     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44811-x_70     Document Type: Conference Paper

References (6)

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3. Kohonen, T.,”Self-Organizing Maps”, Springer-Verlag (1995)
4. Fritzke, B.,”Growing Cell Structure - A Self-Organizing Network for Unsupervised and Supervised Learning”, Neural Networks, 7 (1995)
5. Fritzke, B.,”Growing self-organizing networks - why?”, Proceedings of European Symposium on Artificial Neural Networks: ESANN’96 (1996)
6. Proctor, G., et al.,”Information Flocking: Data Visualisation in Virtual Worlds Using Emergent Behaviours”, Virtual Worlds: First International Conference, Springer-Verlag (1998)