Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/20497
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dc.contributor.authorMaz Jamilah, Masnan-
dc.contributor.authorAli Yeon, Md Shakaff, Prof. Dr.-
dc.contributor.authorAmmar, Zakaria-
dc.contributor.authorNor Idayu, Mahat-
dc.date.accessioned2012-07-19T13:55:52Z-
dc.date.available2012-07-19T13:55:52Z-
dc.date.issued2012-02-27-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/20497-
dc.descriptionInternational Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.en_US
dc.description.abstractLinear discriminant analysis (LDA) has been widely used in the classification of multi sensor data fusion. This paper discusses the performance of LDA when the classifications were performed based on feature extraction and feature selection methods. Comparisons were also made based on single sensor modality. These strategies were studied using a honey dataset along with two types of sugar concentration collected from two types of sensors namely electronic nose (e-nose) and electronic tongue (e-tongue). Assessment of error rate was achieved using the leave-one-out procedure.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)en_US
dc.subjectLinear discriminant analysis (LDA)en_US
dc.subjectMulti sensor data fusionen_US
dc.subjectFeature exstractionen_US
dc.subjectFeature selectionen_US
dc.subjectLeave-one-out error rateen_US
dc.titleComparing the classification performance of multi sensor data fusion based on feature extraction and feature selectionen_US
dc.typeWorking Paperen_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
dc.contributor.urlmazjamilah@unimap.edu.myen_US
dc.contributor.urlaliyeon@unimap.edu.myen_US
Appears in Collections:Conference Papers
Ali Yeon Md Shakaff, Dato' Prof. Dr.
Ammar Zakaria, Associate Professor Dr.

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