A model of granular data: A design problem with the Tchebyschev FCM

Soft Computing

Volumn 9, Issue 3, 2005, Pages 155-163

  Bargiela, Andre ^a   Pedrycz, W ^b,c  

^a NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Deformation effect in clustering; FCM; Geometry; Hyperboxes; Information granulation through clustering; L metric (distance)

Indexed keywords

ALGORITHMS; CHEBYSHEV APPROXIMATION; COGNITIVE SYSTEMS; DATA MINING; DATA REDUCTION; DATA STRUCTURES; FUZZY SETS; GEOMETRY; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION;

DEFORMATION EFFECT-IN-CLUSTERING; FUZZY COGNITIVE MAPS; HYPERBOXES; INFORMATION GRANULATION-THROUGH-CLUSTERING;

DATA PROCESSING;

EID: 13844298042     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-003-0339-2     Document Type: Article

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