A mathematical method for constraint-based cluster analysis towards optimized constrictive diameter smoothing of saphenous vein grafts

Medical and Biological Engineering and Computing

Volumn 48, Issue 6, 2010, Pages 519-529

  Franz, Thomas ^a,b   Reddy, B Daya ^a   Human, Paul ^a   Zilla, Peter ^a  

^a UNIVERSITY OF CAPE TOWN   (South Africa)

^b UNIVERSITY OF CAPE TOWN   (South Africa)

Author keywords

Constrictive smoothing; Diameter irregularity; Mathematical model; Pattern recognition; Saphenous vein

Indexed keywords

ANALYSIS OF DATA; CLUSTER STRUCTURE; CONSTRAINT-BASED; CONSTRICTIVE SMOOTHING; DATA CLUSTERING; DATA SELECTION; DATA SETS; DECISION-TREE ALGORITHM; DIAMETER CLASS; MATHEMATICAL ALGORITHMS; MATHEMATICAL METHOD; NOVEL METHODS; PATTERN EVALUATION; RECURSIVE PARTITIONING ANALYSIS; SAPHENOUS VEIN;

CLUSTERING ALGORITHMS; GRAFTS; INTELLIGENT SYSTEMS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; METADATA; PATTERN RECOGNITION; REGRESSION ANALYSIS; TREES (MATHEMATICS);

CLUSTER ANALYSIS;

AGED; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLUSTER ANALYSIS; FEASIBILITY STUDY; FEMALE; HISTOLOGY; HUMAN; MALE; MIDDLE AGED; PHYSIOLOGY; SAPHENOUS VEIN; TRANSPLANTATION; VASOCONSTRICTION;

AGED; ALGORITHMS; CLUSTER ANALYSIS; FEASIBILITY STUDIES; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; PATTERN RECOGNITION, AUTOMATED; SAPHENOUS VEIN; VASOCONSTRICTION;

EID: 77954458891     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-010-0600-7     Document Type: Article

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