Clustering Methodology for Symbolic Data - Wiley Series in Computational Statistics - Billard, Lynne (University of Georgia, Athens) - Books - John Wiley & Sons Inc - 9780470713938 - October 25, 2019
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Clustering Methodology for Symbolic Data - Wiley Series in Computational Statistics

Billard, Lynne (University of Georgia, Athens)

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Clustering Methodology for Symbolic Data - Wiley Series in Computational Statistics

Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such a data.

352 pages

Media Books     Hardcover Book   (Book with hard spine and cover)
Released October 25, 2019
ISBN13 9780470713938
Publishers John Wiley & Sons Inc
Pages 352
Dimensions 236 × 159 × 17 mm   ·   580 g

See all of Billard, Lynne (University of Georgia, Athens) ( e.g. Hardcover Book )