Aspects in classification learning - Review of recent developments in learning vector quantization

Foundations of Computing and Decision Sciences

Volumn 39, Issue 2, 2014, Pages 79-105

  Kaden, M ^a   Lange, M ^a   Nebel, D ^a   Riedel, M ^a   Geweniger, T ^a   Villmann, T ^a  

^a UNIVERSITY OF APPLIED SCIENCES MITTWEIDA   (Germany)

Author keywords

classification; classification certainty; learning vector quantization; non standard metrics; statistics

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; STATISTICS; VECTORS;

CLASSIFICATION LEARNING; CLASSIFICATION TASKS; CLASSIFIER MODELS; LEARNING VECTOR QUANTIZATION; LEARNING VECTOR QUANTIZATION ALGORITHMS; OPTIMAL CLASSIFICATION; PROTOTYPE-BASED CLASSIFICATIONS; STANDARD METRICS;

VECTOR QUANTIZATION;

EID: 84902579545     PISSN: 08676356     EISSN: 23003405     Source Type: Journal    
DOI: 10.2478/fcds-2014-0006     Document Type: Review

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