Applicability of F-value to Classification Problems with a Numerous Number of Explanatory Variables: Toward Classification Problems in Biometric and Kansei Engineering

F-value is a statistics which estimates a significance of variables participating discriminant efficiency. It has been used in statistical discriminant analysis. However, it seems a few investigations on real problems which must cope with a numerous number of explanatory variables amount to tens of thousands. In such cases, it becomes important to extract useful variables for classification from a numerous number of variables, because we do not know in advance which variables make significant contribution.