Comparison of various feature selection methods in application to prototype best rules

Prototype based rules is an interesting tool for data analysis. However most of prototype selection methods like CFCM+LVQ algorithm do not have embedded feature selection methods and require feature selection as initial preprocessing step. The problem that appears is which of the feature selection methods should be used with CFCM+LVQ prototype selection method, and what advantages or disadvantages of certain solutions can be pointed out. The analysis of the above problems is based on empirical data analysis¹.