Comparison of performance of five common classifiers represented as boundary methods: Euclidean Distance to Centroids, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Learning Vector Quantization and Support Vector Machines, as dependent on data structure

Chemometrics and Intelligent Laboratory Systems

Volumn 95, Issue 1, 2009, Pages 1-17

  Dixon, Sarah J ^a   Brereton, Richard G ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Boundary methods; Classification; Euclidean distance; Learning Vector Quantization; Linear Discriminant Analysis; Mahalanobis distance; Quadratic Discriminant Analysis; Support Vector Machines

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; CHEMOMETRIC ANALYSIS; CLASSIFICATION ALGORITHM; COMPUTER PROGRAM; COVARIANCE; DATA ANALYSIS; DISCRIMINANT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 57649157675     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2008.07.010     Document Type: Article

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