Comparison of supervised self-organizing maps using Euclidian or mahalanobis distance in classification context

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

Volumn 2084 LNCS, Issue PART 1, 2001, Pages 637-644

  Fessant, F ^a   Aknin, P ^a   Oukhellou, L ^b   Midenet, S ^a  

^a Inrets Dart 2   (France)

^b UNIVERSITÉ PARIS EST CRÉTEIL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; ARTIFICIAL INTELLIGENCE;

CLASSIFICATION RESULTS; DATA CLASSIFICATION; EUCLIDIAN DISTANCE; GLOBAL APPROACHES; INPUT VECTOR; MAHALANOBIS DISTANCES; OUTPUT VECTORS; SUPERVISED SELF-ORGANIZING MAP;

SELF ORGANIZING MAPS;

EID: 84902207998     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45720-8_76     Document Type: Conference Paper

References (8)

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