Article (Scientific journals)
Fuzzy k-NN applied to moulds detection
Kuske, Martyna; Rubio, R.; Romain, Anne-Claude et al.
2005In Sensors and Actuators. B, Chemical, 106 (1), p. 52-60
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Keywords :
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
Marco, S.
Language :
English
Title :
Fuzzy k-NN applied to moulds detection
Publication date :
2005
Journal title :
Sensors and Actuators. B, Chemical
ISSN :
0925-4005
eISSN :
1873-3077
Publisher :
Elsevier, Amsterdam, Netherlands
Volume :
106
Issue :
1
Pages :
52-60
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 08 June 2009

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