Proposed method of clustering is based on modified fuzzy c-means algorithm. In the paper features of input data are considered as linguistic variables. Any feature is described by set of fuzzy numbers. Thus, any input data representing a feature is a fuzzy number. The modified method allows finding the appropriate number of classes. Moreover, it uses improvements introducing in conventional fuzzy c-means algorithm increasing its robustness to the influence of outliers.