Standardisation of Data Set Under Different Measurement Scales

dc.contributor.author	Jajuga, Krzysztof
dc.contributor.author	Walesiak, Marek
dc.contributor.organization	Uniwersytet Ekonomiczny we Wrocławiu	pl
dc.date.accessioned	2013-03-09T22:25:20Z
dc.date.available	2013-03-09T22:25:20Z
dc.date.issued	2000
dc.description.abstract	Standardisation of multivariate observations is the important stage that precedes the determination of distances (dissimilarities) in clustering and multidimensional scaling. Different studies (e.g. Milligan and Cooper (1988)) show the effect of standardisation on the retaining of cluster structure in various data configurations. In the paper the survey of standardisation formulas is given. Then we consider the problem of different scales of measurement and their impact on: – the selection of the standardisation formula; – the selections of the appropriate dissimilarity (or similarity) measure.	en
dc.description.eperson	Marek Walesiak
dc.identifier.isbn	3-540-67589-2
dc.identifier.issn	1431-8814
dc.identifier.uri	https://open.icm.edu.pl/handle/123456789/1051
dc.publisher	Springer-Verlag	en
dc.rights	Dozwolony użytek	*
dc.subject	measurement scales	en
dc.subject	standardisation of variables	en
dc.subject	data analysis	en
dc.title	Standardisation of Data Set Under Different Measurement Scales	en
dc.type	article

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