The need for clustering different data may come up in everyday situations and that is why methods for achieving best classification have always been a major concern of data mining. We have developed in present paper a technique that "borrows" a few ideas from a well-known method, i.e. incremental clustering, and yet it has a mechanism of its own, based on genetic algorithms.