Abstract: It is described the application of two kinds of cluster analysis to the design of large and complex information system. First, it is described the way of taking similarity as a measure of distance to cluster in practice. Second, it is analysed the reason of using inclusion algorithm as a measure of distance in data clustering. Besides the concept of inner inclusion is proposed and its algorithm is given. Finaly, an example is given to which two clustering techniques has been used.