Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.9/2651
Título: Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria
Autor: Fachada, Nuno
Figueiredo, Mário A.T.
Lopes, Vitor V.
Martins, Rui C.
Rosa, Agostinho
Palavras-chave: Spectroscopy
Yeast
Saccharomyces cerevisiae
Clustering
Data: 2014
Editora: Elsevier
Citação: Fachada, N.; Figueiredo, Mário A.T.; Lopes, Vitor V.; Martins, Rui C.; Rosa, A.C. - Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria. In: attern Recognition Letters, 2014, Vol. 45, p. 55-61
Resumo: This paper proposes new clustering criteria for distinguishing Saccharomyces cerevisiae (yeast) strains using their spectrometric signature. These criteria are introduced in an agglomerative hierarchical clustering context, and consist of: (a) minimizing the total volume of clusters, as given by their respective convex hulls; and, (b) minimizing the global variance in cluster directionality. The method is deterministic and produces dendrograms, which are important features for microbiologists. A set of experiments, performed on yeast spectrometric data and on synthetic data, show the new approach outperforms several well-known clustering algorithms, including techniques commonly used for microorganism differentiation.
URI: http://hdl.handle.net/10400.9/2651
ISSN: 0167-8655
Versão do Editor: http://dx.doi.org/10.1016/j.patrec.2014.03.008
Aparece nas colecções:UAER - Artigos em revistas internacionais

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