Kuske, M.Rubio, R.Romain, A. C.Nicolas, J.Marco Colás, Santiago2018-10-192018-10-1920050925-4005https://hdl.handle.net/2445/125468The 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.9 p.application/pdfeng(c) Elsevier B.V., 2005Conjunts borrososXarxes de sensorsFuzzy setsSensor networksinfo:eu-repo/semantics/article5175932018-10-19info:eu-repo/semantics/openAccess