Publication
Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria
| dc.contributor.author | Fachada, Nuno | |
| dc.contributor.author | Figueiredo, Mário A.T. | |
| dc.contributor.author | Lopes, Vitor V. | |
| dc.contributor.author | Martins, Rui C. | |
| dc.contributor.author | Rosa, Agostinho | |
| dc.date.accessioned | 2015-03-19T16:04:19Z | |
| dc.date.available | 2015-03-19T16:04:19Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | 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. | por |
| dc.identifier.citation | 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 | por |
| dc.identifier.issn | 0167-8655 | |
| dc.identifier.uri | http://hdl.handle.net/10400.9/2651 | |
| dc.language.iso | eng | por |
| dc.publisher | Elsevier | por |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.patrec.2014.03.008 | por |
| dc.subject | Spectroscopy | por |
| dc.subject | Yeasts | por |
| dc.subject | Saccharomyces cerevisiae | por |
| dc.subject | Clustering | por |
| dc.title | Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria | por |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 61 | por |
| oaire.citation.startPage | 55 | por |
| oaire.citation.title | Pattern Recognition Letters | por |
| oaire.citation.volume | 45 | por |
| rcaap.rights | openAccess | por |
| rcaap.type | article | por |