Potential methods in pattern recognition : Part 3. Feature selection with ALLOC

The feature selection procedure of ALLOC is compared with the SELECT procedure in the ARTHUR software package and with a procedure based on statistical tests in the SPSS software package. Since ALLOC classification is very sensitive to redundant variables, feature selection is necessary. This is not a disadvantage because detection of redundant variables is always desirable. The ALLOC selection procedure performs very well in the two applications considered here, i.e., differentiation of milk samples and characterization of thyroid function.