The T-SOM (Tree-SOM)

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

Volumn 1342, Issue , 1997, Pages 389-397

  Sauvage, Vincent ^a  

^a UNIVERSITÉ CLERMONT AUVERGNE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONFORMAL MAPPING; DATA HANDLING; KNOWLEDGE REPRESENTATION; SELF ORGANIZING MAPS;

DATA ANALYSIS TOOL; HIERARCHICAL STRUCTURES; KOHONEN SELF-ORGANIZING MAPS; LEARNING PARAMETERS; LOW COMPLEXITY ALGORITHM; MULTIRESOLUTION; NEURAL NETWORK MODEL; UNSUPERVISED NEURAL NETWORKS;

LEARNING SYSTEMS;

EID: 67349145053     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63797-4_92     Document Type: Conference Paper

References (12)

1. Kohonen, T.: Self-organizing Maps. Springer Eds (1995) 143-173
2. Fritzke, B.: Growing cell structures: a self organizing net for unsupervised and supervised learning. Int. Comp. Sc. Inst. California, Berkeley. (1993)
3. Koh, J., Suk, M., Bhandarkar, S. M.: A multilayer self-organizing feature map for range image segmentation. Neural Networks 8 (1995) 67-86
4. Sabourin, M., Mitiche, A.: Modeling and classification of shape using a KAM with selective multiresolution. Neural Networks 6 (1993) 275-283
5. Bauer, H. U., Pawelzik, K. R.: Quantifying the neighborhood preservation of selforganizing feature maps. IEEE Trans, on Neural Networks. 3 (1992) 570-578
6. Zhao, Z.: Weight distance display of Kohonen maps. NeuroNîmes. (1992) 611-620
7. Lampinen, J., Oja, E.: Distortion tolerant pattern recognition based on self organizing feature extraction. IEEE Trans, on Neural Networks. 6 (1995).
8. Smagt, P. V. D., Krose, B.: Using many particle decomposition to get a parallel self-organizing map. Joint Nat. Conf. in Computer Science (1995)
9. Zbrehen, S., Blayo, F.: A geometric organization measure for Kohonen's maps. NeuroNîmes (1992) 603-610
10. Li, K. P.: A Learning algoritm with multiple criteria for self-organizing feature map. Artificial Neural Networks (1991) 1353-1356.
11. Koikkalainen, P., Oja, E.: Self organizing hierarchical feature maps. Int. Join. Conf. on Neural Networks II 279-284.
12. Bauer, H. U., Villman, Th.: Growing a hypercubical output space in a selforganizing feature map. Int. Comp. Sc. Inst. California, Berkeley. (1995)