Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context - researchr publication authors

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Françoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet. Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context. In José Mira, Alberto Prieto, editors, Connectionist Models of Neurons, Learning Processes and Artificial Intelligence, 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I. Volume 2084 of Lecture Notes in Computer Science, pages 637-644, Springer, 2001. [doi]

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