Comparison of two different dimension reduction methods in classification by arithmetic, geometric and harmonic similarity measure

We have investigated effects of different dimension reduction methods to fuzzy similarity based classifier. We are going to show that dimension reduction plays an important role especially with geometric and harmonic similarity based classification. We are also going to show that the arithmetic case does not depend that much on dimension reduction, but very similar results can be achieved with full dimension instead of optimal dimension.