On the use of self-organizing maps to accelerate vector quantization

Neurocomputing

Volumn 56, Issue 1-4, 2004, Pages 187-203

  de Bodt, Eric ^a,b   Cottrell, Marie ^c   Letremy, Patrick ^c   Verleysen, Michel ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b UNIV LILLE   (France)

^c University Paris I Sorbonne Panthéon   (France)

Author keywords

Acceleration; Convergence speed; Self organization; Vector quantization

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; TOPOLOGY; VECTORS;

QUANTIZATION;

NEURAL NETWORKS;

ALGORITHM; ANALYTICAL ERROR; ARTICLE; CLASSIFICATION; CLUSTER ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; ECONOMIC ASPECT; INTERMETHOD COMPARISON; LEARNING; MATHEMATICAL COMPUTING; NORMAL DISTRIBUTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIMULATION; STOCHASTIC MODEL;

EID: 0742271716     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2003.09.009     Document Type: Article

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