Reference : Fuzzy k-NN applied to moulds detection
Scientific journals : Article
Life sciences : Environmental sciences & ecology
http://hdl.handle.net/2268/14101
Fuzzy k-NN applied to moulds detection
English
Kuske, Martyna [> > > >]
Rubio, R. [> > > >]
Romain, Anne-Claude mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Surveillance de l'environnement > > >]
Nicolas, Jacques mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Surveillance de l'environnement >]
Marco, S. [> > > >]
2005
Sensors and actuators. B, Chemical
Elsevier
106
1
52-60
Yes (verified by ORBi)
International
0925-4005
Amsterdam
The Netherlands
[en] Fuzzy k-NN ; Linear discriminant analysis ; Moulds ; Chemical sensor arrays
[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 ; Students
http://hdl.handle.net/2268/14101
10.1016/j.snb.2004.05.066

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