Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/61977
Título: | Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria |
Autor(es): | Fachada, Nuno Figueiredo, Mário A. T. Lopes, Vitor V. Martins, Rui C. Rosa, Agostinho C. |
Palavras-chave: | Clustering Minimum volume increase Minimum direction change Yeast Spectroscopy |
Data: | 2014 |
Editora: | Elsevier 1 |
Revista: | Pattern Recognition Letters |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/61977 |
DOI: | 10.1016/j.patrec.2014.03.008 |
ISSN: | 0167-8655 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | ICVS - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Fachada-2014-Spectrometric-differentiation-of-ye.pdf Acesso restrito! | 219,46 kB | Adobe PDF | Ver/Abrir |