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Generalization of linear discriminant analysis using -norm

โœ Scribed by Oh, Jae Hyun; Kwak, Nojun


Book ID
123486041
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
434 KB
Volume
34
Category
Article
ISSN
0167-8655

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This paper proposes an elegant, yet straightforward, model for classifying linear mixtures. A linear mixture is defined as a random vector y in which the variable are a (nonnegative) weighted average of corresponding variables, assumed to characterize g component groups. These weights are referred t