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dc.contributor.editorPedro García Márquez, Fausto
dc.date.accessioned2023-02-15T14:38:08Z
dc.date.available2023-02-15T14:38:08Z
dc.date.issued2022
dc.identifierONIX_20230215_9781803557663_99
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/97059
dc.description.abstractThis book describes and discusses the use of principal component analysis (PCA) for different types of problems in a variety of disciplines, including engineering, technology, economics, and more. It presents real-world case studies showing how PCA can be applied with other algorithms and methods to solve both large and small and static and dynamic problems. It also examines improvements made to PCA over the years.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulationen_US
dc.subject.otherComputer science
dc.titleAdvances in Principal Component Analysis
dc.typebook
oapen.identifier.doi10.5772/intechopen.97992
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781803557663
oapen.relation.isbn9781803557656
oapen.relation.isbn9781803557670
oapen.imprintIntechOpen
oapen.pages252


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