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Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue


Mahat, Nor Idayu and Zakaria, Ammar and Md Shakaff, Ali Yeon (2015) Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue. In: 2nd Innovation and Analytics Conference & Exhibition (IACE 2015), 29 September –1 October 2015, TH Hotel, Alor Setar, Kedah, Malaysia.

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Abstract

This paper evaluates the performance of parametric and non-parametric classification rules in sensor technology.The growing of sensor technologies, e-nose and e-tongue, has urged engineers to equip themselves with the utmost recent and advanced statistical approaches.As data collected from e-nose and e-tongue face some complexities, often data pre-processing and transformation are performed prior to the classification.This paper discusses the comparisons made on some known parametric and non-parametric classification rules in the application for classifying data of e-nose and e-tongue.The comparisons which based on leave-one-out accuracy, sensitivity and specificity shows that non-parametric approaches especially k-nearest neighbour does not much distorted with changes of distribution, but Naïve Bayes is greatly influenced by the structure of the data.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 978-0-7354-1338-2 Organized by: School of Quantitative Sciences (SQS) & Joint organized : Sunway University
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Quantitative Sciences
Depositing User: Dr. Nor Idayu Mahat
Date Deposited: 04 Jan 2016 03:03
Last Modified: 27 Apr 2016 06:28
URI: http://repo.uum.edu.my/id/eprint/16796

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