Inductive clustering, MeanShift, DBSCAN, external quality measure, internal clustering quality, density-based clustering.

The article presents an inductive model of objective clustering based on the MeanShift clustering technique. The algorithm for breaking an assortment of original data into two evenly powerful subsets is employed. The balance criterion is handled as an external criterion. To test the proposed model's functioning, the “Jain” and “Flame” data sets from the Computing School of the East Finnish University were employed. The inductive DBSCAN algorithm was adopted to match the preliminary outcomes. Based on the simulation proceeds, the ways for further improvement of the proposed model are arranged to increase the examined data's clustering objectivity.