Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.3/3432
Título: Clustering of variables with a three-way approach for health sciences
Autor: Bacelar-Nicolau, Helena
Nicolau, Fernando C.
Sousa, Áurea
Bacelar-Nicolau, Leonor
Palavras-chave: Three-way Data
Interval Variable
Cluster Analysis of Variables
Similarity Coefficient
Hierarchical Clustering Model
Data: Dez-2014
Editora: Cises Srl
Citação: Bacelar-Nicolau, Helena; Nicolau, Fernando C.; Sousa, Áurea; Bacelar-Nicolau, Leonor (2014). "Clustering of Variables with a Three-Way Approach for Health Sciences". Testing, Psychometrics, Methodology in Applied Psychology (TPM) , 21(4 Special Issue), 435-447. DOI: 10.4473/TPM21.4.5.
Resumo: Cluster analysis or classification usually concerns a set of exploratory multivariate data analysis methods and techniques for grouping either a set of statistical data units or the associated set of descriptive variables, into clusters of similar and, hopefully, well separated elements. In this work we refer to an extension of this paradigm to generalized three-way data representations and particularly to classification of interval variables. Such approach appears to be especially useful in large data bases, mostly in a data mining context. A health sciences case study is partially discussed.
Descrição: TPM Vol. 21, No. 4, December 2014, 435-447 – Special Issue © 2014 Cises.
Peer review: yes
URI: http://hdl.handle.net/10400.3/3432
DOI: 10.4473/TPM21.4.5
ISSN: 1972-6325
Versão do Editor: http://www.tpmap.org/clustering-of-variables-with-a-three-way-approach-for-health-sciences/
Aparece nas colecções:DM - Artigos em Revistas Internacionais / Articles in International Journals

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