A two-stage feature selection algorithm based on redundancy and relevance

• Main Authors: Antioquia, Arren Matthew C., Azcarraga, Arnulfo P.
• Format: text
• Published: Animo Repository 2018
• Subjects: Learning classifier systems; Big data; Document clustering; Nearest neighbor analysis (Statistics)
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/4428
• Institution: De La Salle University

Resulting from technological advancements, it is now possible to regularly collect large volumes of data and to use these data for different applications. However, this obviously results in having very large numbers of samples as well as features. Dealing with high-volume and high-dimensional data i...