Clustering the tropical wood species using Kohonen Self-Organizing Map (KSOM)

• Main Authors: Ahmad, Azlin, Yusof, Rubiyah
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/37353/1/RubiyahYusof2013_ClusteringtheTropicalWoodSpeciesUsing.pdf; http://eprints.utm.my/id/eprint/37353/; http://www.atlantis-press.com/php/download_paper.php?id=6861
• Institution: Universiti Teknologi Malaysia

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...