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A modified kohonen self-organizing map (KSOM) clustering for four categorical data

The Kohonen Self-Organizing Map (KSOM) is one of the Neural Network unsupervised learning algorithms. This algorithm is used in solving problems in various areas, especially in clustering complex data sets. Despite its advantages, the KSOM algorithm has a few drawbacks; such as overlapped cluster an...

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Main Authors: Ahmad, A., Yusof, R.
Format: Article
Language:English
Published: Penerbit UTM Press 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/74337/1/AzlinAhmad2017_AModifiedKohonenSelfOrganizingMap.pdf
http://eprints.utm.my/id/eprint/74337/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976439521&doi=10.11113%2fjt.v78.9275&partnerID=40&md5=e466f70ed8ddd8a871487623f8dc75df
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spelling my.utm.743372017-11-28T06:50:01Z http://eprints.utm.my/id/eprint/74337/ A modified kohonen self-organizing map (KSOM) clustering for four categorical data Ahmad, A. Yusof, R. QA75 Electronic computers. Computer science The Kohonen Self-Organizing Map (KSOM) is one of the Neural Network unsupervised learning algorithms. This algorithm is used in solving problems in various areas, especially in clustering complex data sets. Despite its advantages, the KSOM algorithm has a few drawbacks; such as overlapped cluster and non-linear separable problems. Therefore, this paper proposes a modified KSOM that inspired from pheromone approach in Ant Colony Optimization. The modification is focusing on the distance calculation amongst objects. The proposed algorithm has been tested on four real categorical data that are obtained from UCI machine learning repository; Iris, Seeds, Glass and Wisconsin Breast Cancer Database. From the results, it shows that the modified KSOM has produced accurate clustering result and all clusters can clearly be identified. Penerbit UTM Press 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/74337/1/AzlinAhmad2017_AModifiedKohonenSelfOrganizingMap.pdf Ahmad, A. and Yusof, R. (2016) A modified kohonen self-organizing map (KSOM) clustering for four categorical data. Jurnal Teknologi, 78 (6-13). pp. 75-80. ISSN 0127-9696 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976439521&doi=10.11113%2fjt.v78.9275&partnerID=40&md5=e466f70ed8ddd8a871487623f8dc75df
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad, A.
Yusof, R.
A modified kohonen self-organizing map (KSOM) clustering for four categorical data
description The Kohonen Self-Organizing Map (KSOM) is one of the Neural Network unsupervised learning algorithms. This algorithm is used in solving problems in various areas, especially in clustering complex data sets. Despite its advantages, the KSOM algorithm has a few drawbacks; such as overlapped cluster and non-linear separable problems. Therefore, this paper proposes a modified KSOM that inspired from pheromone approach in Ant Colony Optimization. The modification is focusing on the distance calculation amongst objects. The proposed algorithm has been tested on four real categorical data that are obtained from UCI machine learning repository; Iris, Seeds, Glass and Wisconsin Breast Cancer Database. From the results, it shows that the modified KSOM has produced accurate clustering result and all clusters can clearly be identified.
format Article
author Ahmad, A.
Yusof, R.
author_facet Ahmad, A.
Yusof, R.
author_sort Ahmad, A.
title A modified kohonen self-organizing map (KSOM) clustering for four categorical data
title_short A modified kohonen self-organizing map (KSOM) clustering for four categorical data
title_full A modified kohonen self-organizing map (KSOM) clustering for four categorical data
title_fullStr A modified kohonen self-organizing map (KSOM) clustering for four categorical data
title_full_unstemmed A modified kohonen self-organizing map (KSOM) clustering for four categorical data
title_sort modified kohonen self-organizing map (ksom) clustering for four categorical data
publisher Penerbit UTM Press
publishDate 2016
url http://eprints.utm.my/id/eprint/74337/1/AzlinAhmad2017_AModifiedKohonenSelfOrganizingMap.pdf
http://eprints.utm.my/id/eprint/74337/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976439521&doi=10.11113%2fjt.v78.9275&partnerID=40&md5=e466f70ed8ddd8a871487623f8dc75df
_version_ 1643656837793316864
score 13.211869

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