Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/125468
Title: | Fuzzy k-NN applied to mould detection |
Author: | Kuske, M. Rubio, R. Romain, A. C. Nicolas, J. Marco Colás, Santiago |
Keywords: | Conjunts borrosos Xarxes de sensors Fuzzy sets Sensor networks |
Issue Date: | 2005 |
Publisher: | Elsevier B.V. |
Abstract: | 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. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1016/j.snb.2004.05.066 |
It is part of: | Sensors and Actuators B-Chemical, 2005, vol. 106, p. 52-60 |
URI: | http://hdl.handle.net/2445/125468 |
Related resource: | https://doi.org/10.1016/j.snb.2004.05.066 |
ISSN: | 0925-4005 |
Appears in Collections: | Articles publicats en revistes (Enginyeria Electrònica i Biomèdica) |
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517593.pdf | 599.31 kB | Adobe PDF | View/Open |
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