Fuzzy k-NN applied to moulds detection

Kuske, Martyna; Rubio, R.; Romain, Anne-Claude; Nicolas, Jacques; Marco, S.

doi:10.1016/j.snb.2004.05.066

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Fuzzy k-NN applied to moulds detection

Kuske, Martyna; Rubio, R.; Romain, Anne-Claude et al.

2005 • In Sensors and Actuators. B, Chemical, 106 (1), p. 52-60

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/14101

DOI
10.1016/j.snb.2004.05.066

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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 :

Pages :

52-60

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 08 June 2009

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