Improved SOM labeling methodology for data mining applications

• Main Authors: Azcarraga, Arnulfo P., Hsieh, Ming Huei, Pan, Shan Ling, Setiono, Rudy
• Format: text
• Published: Animo Repository 2008
• Subjects: Self-organizing maps; Data mining; Neural networks (Computer science); Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2694
• Institution: De La Salle University

Self-Organizing Maps (SOMs) have been useful in gaining insights about the information content of large volumes of data in various data mining applications. As a special form of neural networks, they have been attractive as a data mining tool because they are able to extract information from data ev...