Urban water quality evaluation using multivariate analysis

Urban water quality evaluation using multivariate analysis

A data set, obtained for the sake of drinking water quality monitoring, was analysed by multivariate methods. Principal component analysis (PCA) reduced the data dimensionality from 18 original physico-chemical and microbiological parameters determined in drinking water samples to 6 principal compon...

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Bibliographic Details
Main Author:	Petr Praus
Format:	Article
Language:	English
Published:	Technical University of Kosice 2007-06-01
Series:	Acta Montanistica Slovaca
Subjects:	Water quality drinking water principal component analysis multivariate methods data mining
Online Access:	http://actamont.tuke.sk/pdf/2007/n2/11praus.pdf

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