Multiple classification systems in the context of feature extraction and selection

Abstract

Parallels between Feature Extraction / Selection and Multiple Classification Systems methodologies are considered. Both approaches allow the designer to introduce prior information about the pattern recognition task to be solved. However, both are heavily affected by computational difficulties and by the problem of small sample size/classifier complexity. Neither approach is capable of selecting a unique data analysis algorithm.