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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Format: | Conference or Workshop Item |
Language: | English |
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2015
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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. |
first_indexed | 2024-07-04T06:03:11Z |
format | Conference or Workshop Item |
id | uum-16796 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T06:03:11Z |
publishDate | 2015 |
record_format | eprints |
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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