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Cluster analysis is the automatic grouping of objects into groups on the basis of numerical data consisting of measures either of properties of the objects, or of the dissimilarities between them. This paper concerns with the ART1 (Adaptive Resonance Theory 1) in Neural Network. Important features of ART1 are similarity measure (criterion), vigilance parameter, and their function to classify the input patterns. We compare the results of different similarity criteria experimentally. The ART algorithm is programmed in C++.