Clustering the tropical wood species using Kohonen Self-Organizing Map (KSOM)
This paper discusses on how the Kohonen Self Organizing Map (KSOM) is used as a tool to cluster and classify the tropical wood species. Wood features have been extracted through the use of two features extractors; Basic Grey Level Aura Matrix (BGLAM) and Statistical Properties of Pores Distribution...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/37353/ http://eprints.utm.my/37353/ http://eprints.utm.my/37353/1/RubiyahYusof2013_ClusteringtheTropicalWoodSpeciesUsing.pdf |
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