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

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 an...

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Main Authors: Mahat, Nor Idayu, Zakaria, Ammar, Md Shakaff, Ali Yeon
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/16796/1/2.pdf
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author Mahat, Nor Idayu
Zakaria, Ammar
Md Shakaff, Ali Yeon
author_facet Mahat, Nor Idayu
Zakaria, Ammar
Md Shakaff, Ali Yeon
author_sort Mahat, Nor Idayu
collection UUM
description 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.
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spelling uum-167962016-04-27T06:28:49Z https://repo.uum.edu.my/id/eprint/16796/ Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue Mahat, Nor Idayu Zakaria, Ammar Md Shakaff, Ali Yeon QA75 Electronic computers. Computer science 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. 2015-09-29 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/16796/1/2.pdf 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. http://doi.org/10.1063/1.4937017 doi:10.1063/1.4937017 doi:10.1063/1.4937017
spellingShingle QA75 Electronic computers. Computer science
Mahat, Nor Idayu
Zakaria, Ammar
Md Shakaff, Ali Yeon
Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
title Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
title_full Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
title_fullStr Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
title_full_unstemmed Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
title_short Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
title_sort comparisons of parametric and non parametric classification rules for e nose and e tongue
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/16796/1/2.pdf
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