OctaSOM - An octagonal based SOM lattice structure for biomedical problems
In this study, an octagonal-based self-organizing network’s lattice structure is proposed to allow more exploration and exploitation in updating the weights for better mapping and classification performances.The neighborhood of the octagonal-based lattice structure provides more nodes for the weight...
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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/15679/1/PID058.pdf |
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author | Hasan, Shafaatunnur Shamsuddin, Siti Mariyam |
author_facet | Hasan, Shafaatunnur Shamsuddin, Siti Mariyam |
author_sort | Hasan, Shafaatunnur |
collection | UUM |
description | In this study, an octagonal-based self-organizing network’s lattice structure is proposed to allow more exploration and exploitation in updating the weights for better mapping and classification performances.The neighborhood of the octagonal-based lattice structure provides more nodes for the weights updating than standard hexagonal-based lattice structure. Based on our experiment, the octagonal-based lattice structure performance is better than standard hexagonal lattice structure on biomedical datasets for classification problem. This indicates that proposed algorithm is an alternative lattice structure for self-organizing network which give more wisdom to classification problems especially in the biomedical domains. |
first_indexed | 2024-07-04T05:59:23Z |
format | Conference or Workshop Item |
id | uum-15679 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T05:59:23Z |
publishDate | 2015 |
record_format | eprints |
spelling | uum-156792016-04-27T03:37:23Z https://repo.uum.edu.my/id/eprint/15679/ OctaSOM - An octagonal based SOM lattice structure for biomedical problems Hasan, Shafaatunnur Shamsuddin, Siti Mariyam QA75 Electronic computers. Computer science In this study, an octagonal-based self-organizing network’s lattice structure is proposed to allow more exploration and exploitation in updating the weights for better mapping and classification performances.The neighborhood of the octagonal-based lattice structure provides more nodes for the weights updating than standard hexagonal-based lattice structure. Based on our experiment, the octagonal-based lattice structure performance is better than standard hexagonal lattice structure on biomedical datasets for classification problem. This indicates that proposed algorithm is an alternative lattice structure for self-organizing network which give more wisdom to classification problems especially in the biomedical domains. 2015-08-11 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/15679/1/PID058.pdf Hasan, Shafaatunnur and Shamsuddin, Siti Mariyam (2015) OctaSOM - An octagonal based SOM lattice structure for biomedical problems. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey. http://www.icoci.cms.net.my/proceedings/2015/TOC.html |
spellingShingle | QA75 Electronic computers. Computer science Hasan, Shafaatunnur Shamsuddin, Siti Mariyam OctaSOM - An octagonal based SOM lattice structure for biomedical problems |
title | OctaSOM - An octagonal based SOM lattice structure for biomedical problems |
title_full | OctaSOM - An octagonal based SOM lattice structure for biomedical problems |
title_fullStr | OctaSOM - An octagonal based SOM lattice structure for biomedical problems |
title_full_unstemmed | OctaSOM - An octagonal based SOM lattice structure for biomedical problems |
title_short | OctaSOM - An octagonal based SOM lattice structure for biomedical problems |
title_sort | octasom an octagonal based som lattice structure for biomedical problems |
topic | QA75 Electronic computers. Computer science |
url | https://repo.uum.edu.my/id/eprint/15679/1/PID058.pdf |
work_keys_str_mv | AT hasanshafaatunnur octasomanoctagonalbasedsomlatticestructureforbiomedicalproblems AT shamsuddinsitimariyam octasomanoctagonalbasedsomlatticestructureforbiomedicalproblems |