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Ragozini, Giancarlo (2000) A computational geometry approach for linear and non linear discriminant analysis. Computational Statistics, 15 (1). 115-125 doi:10.1007/s001800050042

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Reference TypeJournal (article/letter/editorial)
TitleA computational geometry approach for linear and non linear discriminant analysis
JournalComputational Statistics
AuthorsRagozini, GiancarloAuthor
Year2000 (March)Volume15
Issue1
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s001800050042Search in ResearchGate
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Mindat Ref. ID9544950Long-form Identifiermindat:1:5:9544950:0
GUID0
Full ReferenceRagozini, Giancarlo (2000) A computational geometry approach for linear and non linear discriminant analysis. Computational Statistics, 15 (1). 115-125 doi:10.1007/s001800050042
Plain TextRagozini, Giancarlo (2000) A computational geometry approach for linear and non linear discriminant analysis. Computational Statistics, 15 (1). 115-125 doi:10.1007/s001800050042
In(2000, March) Computational Statistics Vol. 15 (1) Springer Science and Business Media LLC

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Zhao, Jianhua, Yu, Philip L.H., Shi, Lei, Li, Shulan (2012) Separable linear discriminant analysis. Computational Statistics & Data Analysis, 56 (12). 4290-4300 doi:10.1016/j.csda.2012.04.003
 
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