Some Distance Proposals for Cluster Analysis in Presence of Ordinal Variables

Giuseppe Boari; Gabriele Cantaluppi; Angelo Zanella

Some Distance Proposals for Cluster Analysis in Presence of Ordinal Variables

Giuseppe Boari, Gabriele Cantaluppi, Angelo Zanella

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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.

Original language	English
Title of host publication	Cladag 2013. 9th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society. Book of Abstracts
Editors	Tommaso Minerva, Isabella Morlini, Francesco Palumbo
Pages	49-52
Number of pages	4
Publication status	Published - 2013

Keywords

Cluster Analysis
Ordinal Variables
Thurstone Transformation

Cite this

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title = "Some Distance Proposals for Cluster Analysis in Presence of Ordinal Variables",

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.",

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Some Distance Proposals for Cluster Analysis in Presence of Ordinal Variables. / Boari, Giuseppe; Cantaluppi, Gabriele; Zanella, Angelo.
Cladag 2013. 9th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society. Book of Abstracts. ed. / Tommaso Minerva; Isabella Morlini; Francesco Palumbo. 2013. p. 49-52.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Some Distance Proposals for Cluster Analysis in Presence of Ordinal Variables

AU - Boari, Giuseppe

AU - Cantaluppi, Gabriele

AU - Zanella, Angelo

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Cluster Analysis

KW - Ordinal Variables

KW - Thurstone Transformation

KW - Cluster Analysis

KW - Ordinal Variables

KW - Thurstone Transformation

UR - http://hdl.handle.net/10807/50752

UR - http://www.cladag2013.it/images/file/cladag2013_abstract.pdf

M3 - Chapter

SN - 9788867871179

SP - 49

EP - 52

BT - Cladag 2013. 9th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society. Book of Abstracts

A2 - Minerva, Tommaso

A2 - Morlini, Isabella

A2 - Palumbo, Francesco

ER -

Some Distance Proposals for Cluster Analysis in Presence of Ordinal Variables

Abstract

Keywords

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