Hierarchical clustering extended with visual complements of environmental data set

Hierarchical clustering techniques complemented with visual display of data sets allow direct interpretation of the clustering results in terms of original variables. The proposed method of data ordering and display is simple, informative and fulfils fundamental objectives of the data visualisation...

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Bibliographic Details
Published inChemometrics and intelligent laboratory systems Vol. 64; no. 1; pp. 45 - 54
Main Authors Smoliński, A., Walczak, B., Einax, J.W.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 28.10.2002
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Summary:Hierarchical clustering techniques complemented with visual display of data sets allow direct interpretation of the clustering results in terms of original variables. The proposed method of data ordering and display is simple, informative and fulfils fundamental objectives of the data visualisation techniques. In our study, it is applied for exploratory analysis of an environmental data set.
ISSN:0169-7439
1873-3239
DOI:10.1016/S0169-7439(02)00049-7