Fuzzy k-NN; Linear discriminant analysis; Moulds; Chemical sensor arrays
Abstract :
[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.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Kuske, Martyna
Rubio, R.
Romain, Anne-Claude ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Surveillance de l'environnement
Nicolas, Jacques ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Surveillance de l'environnement
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