Clustering of Variables Based on Watson Distribution on Hypersphere: A Comparison of Algorithms

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

Adelaide Figueiredo (Autor) FEP; Paulo Gomes (Autor) Outra

Revista

Título: Communications in Statistics Part B: Simulation and Computation

Vol. 44

Páginas: 2622-2635

ISSN: 0361-0918

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências exactas e naturais > Matemática

CORDIS: Ciências Físicas > Matemática > Estatística

Outras Informações

ID Authenticus: P-00G-DZB

DOI: 10.1080/03610918.2014.901353

Abstract (EN): We consider n individuals described by p variables, represented by points of the surface of unit hypersphere. We suppose that the individuals are fixed and the set of variables comes from a mixture of bipolar Watson distributions. For the mixture identification, we use EM and dynamic clusters algorithms, which enable us to obtain a partition of the set of variables into clusters of variables.Our aim is to evaluate the clusters obtained in these algorithms, using measures of within-groups variability and between-groups variability and compare these clusters with those obtained in other clustering approaches, by analyzing simulated and real data.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14