In this article, it will be discussed several specifications regarding the importance of the application of the clusterizing techniques. Each instance (object from the base data) is characterised by 37 attributes (sort of nominal type from which results patient’s age, patient’s age of numeric type, the dentition situation, the social environment from where the patient comes, the social-educational level, the parents schooling (grounding) level, number of family’s members, the last visit to the dentist, the oral hygiene grade). In the database, there were selected a number of 623 patients. The statistic analysis at each attribute’s level was made.