Use of ICC for Defining the Optimal Clustering Solution under Normality Assumption

Giuseppe Boari, Marta Nai Ruscone

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

The intraclass correlation coefficient r is frequently used to measure the degree of intragroup resemblance (for example of characteristics such as blood pressure, weight and height). A definition of the intraclass correlation coefficient is given on the basis of a normal random effect model. The theory concerning r is well established for single variables analysis (Sheffé, 1959; Rao, 1973). We propose to consider a multiple test procedure in order to define the optimal clustering solution under normality assumption of the involved variables, using the test of null intraclass correlation.
Lingua originaleEnglish
Titolo della pubblicazione ospiteAnalysis and Modeling of Complex Data in Behavioural and Social Sciences. Book of Short Paper
Pagine1-4
Numero di pagine4
Stato di pubblicazionePubblicato - 2012
EventoJCS-Cladag 2012. Joint Meeting of the Japanise Classification Society and the Italian Classification and Data Analyis Group - Anacapri
Durata: 3 set 20124 set 2012

Convegno

ConvegnoJCS-Cladag 2012. Joint Meeting of the Japanise Classification Society and the Italian Classification and Data Analyis Group
CittàAnacapri
Periodo3/9/124/9/12

Keywords

  • cluster analysis
  • intraclass correlation coefficient

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