OctaSOM - An octagonal based SOM lattice structure for biomedical problems

• Main Authors: Hasan, Shafaatunnur, Shamsuddin, Siti Mariyam
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/15679/1/PID058.pdf; http://repo.uum.edu.my/15679/; http://www.icoci.cms.net.my/proceedings/2015/TOC.html
• Institution: Universiti Utara Malaysia

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.