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dc.contributor.editorSanguansat, Parinya
dc.date.accessioned2021-04-20T15:23:59Z
dc.date.available2021-04-20T15:23:59Z
dc.date.issued2012
dc.identifierONIX_20210420_9789535101826_1065
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/65708
dc.description.abstractThis book is aimed at raising awareness of researchers, scientists and engineers on the benefits of Principal Component Analysis (PCA) in data analysis. In this book, the reader will find the applications of PCA in fields such as energy, multi-sensor data fusion, materials science, gas chromatographic analysis, ecology, video and image processing, agriculture, color coating, climate and automatic target recognition.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematicsen_US
dc.subject.otherMathematical modelling
dc.titlePrincipal Component Analysis
dc.title.alternativeEngineering Applications
dc.typebook
oapen.identifier.doi10.5772/2693
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535101826
oapen.relation.isbn9789535156932
oapen.imprintIntechOpen
oapen.pages232


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