Extracting salient dimensions for automatic SOM labeling

• Main Authors: Azcarraga, Arnulfo P., Hsieh, Ming Huei, Pan, Shah L., Setiono, Rudy
• Format: text
• Published: Animo Repository 2005
• Subjects: Self-organizing maps; Market segmentation; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/505; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1504/type/native/viewcontent
• Institution: De La Salle University

Learning in self-organizing maps (SOM) is considered unsupervised because training patterns do not need accompanying desired output information. Prior to its use in some real-world applications, however, a trained SOM often has to be labeled. This labeling phase is usually supervised in that labeled...