A novel clustering algorithm based upon a SOFM neural network family

Lecture Notes in Computer Science

Volumn 3497, Issue II, 2005, Pages 69-74

  Wen, Junhao ^a   Meng, Kaiwen ^a   Wu, Hongyan ^a   Wu, Zhongfu ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; PROBLEM SOLVING; TOPOLOGY;

ARBITRARY SHAPES; CLUSTERING ALGORITHMS; CONVENTIONAL CLUSTERING; NEURAL NETWORK FAMILY;

SELF ORGANIZING MAPS;

EID: 24944523319     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427445_12     Document Type: Conference Paper

References (5)

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2. Han, J., Kamber, M.: Data Mining Concepts and Techniques. Morgan Kaufmann Publisher, San Francisco (2001)
3. Lin, S., Si, J., Weight: Convergence and Weight Density of the Multi-dimensional SOFM Algorithm. Proceedings of the American Control Conference, Albuquerque, New Mexico (1997)
4. Kohonen, T.: Self-organizing Map. Heidelberg: Springer-Verlag (1995)
5. Kohonen, T.: The Self-organizing Map. Proceedings of the IEEE. 78 (1990) 1464-1480