In this paper we describe a method of advanced data preprocessing for
pattern classification using a fuzzy classification system (FCS). Inpu
t pattern vectors are transformed using a matrix before classification
to improve classification results and to simplify the FCS. The transf
ormation matrix is calculated using the prototypes obtained with fuzzy
clustering methods. The data preprocessed in this way are often class
ifiable more easily than the original data. Results obtained with the
new method using artificially created data and the well-known Iris dat
a set are presented.