Some Distance Proposals for Cluster Analysis in Presence of Ordinal Variables

Gabriele Cantaluppi, Giuseppe Boari, Angelo Zanella

Risultato della ricerca: Contributo in libroChapter

Abstract

Cluster Analysis is a well established methodology in Marketing research to perform market segmentation. Data from questionnaire surveys are often measured on ordinal scales, which are usually analyzed as they were of the interval type or by having recourse to non parametric distances like the \gamma index or distances based on the Spearman rank correlation. New dissimilarity distances dealing with variables of the ordinal type are presented.
Lingua originaleEnglish
Titolo della pubblicazione ospiteCladag 2013. 9th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society. Book of Abstracts
EditorTommaso Minerva, Isabella Morlini, Francesco Palumbo
Pagine49-52
Numero di pagine4
Stato di pubblicazionePubblicato - 2013

Keywords

  • Cluster Analysis
  • Ordinal Variables
  • Thurstone Transformation

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