Similarity Classifier using Measure Derived from Yus Norms Applied to Medical Data Sets

In this paper classification results using similarity classifier and Yu´s norms are applied to medical data sets. Similarity measure is constructed using measure based on Yu´s t-norm and t-conorm. Constructed measure has been succesfully used in classification. Also results are compared to DIMLP, MLP and CN2 classifiers which are giving quite good results. Result presented in this paper are quite promising. The effects of PCA and entropy minimization as preprocessing methods to classification results has been studied. Results show that entropy minimization method worked well as preprocessor with these data sets and similarity classifier.