Reference : Fuzzy K-NN applied to moulds detection
Scientific congresses and symposiums : Paper published in a book
Life sciences : Environmental sciences & ecology
http://hdl.handle.net/2268/23972
Fuzzy K-NN applied to moulds detection
English
Kuske, Martyna [ > > ]
Rubio, R. [ > > ]
Nicolas, Jacques mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Surveillance de l'environnement >]
Marco, S. [ > > ]
Romain, Anne-Claude mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Surveillance de l'environnement > >]
Jun-2003
Proceedings of ISOEN'03
151-154
Yes
International
ISOEN'03
du 25 juin 2003 au 28 juin 2003
Riga
Lettonie
[en] fungi ; sensor array ; linear discriminant analysis ; linear discriminant analysis
[en] The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 +/- 3% can be obtained combining an extended linear discriminant analysis plus a fuzzy k-NN classifier. The classification ability of the classifier is assessed within the dataset by crossvalidation and also in a second dataset collected 5 months later. There is a slight decrease in the classification performance for all the algorithms, being the most sensitive the most accurate one.
Researchers ; Professionals
http://hdl.handle.net/2268/23972

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