Algorithm for adaptive planning of an ensemble of taxonomic decisions trees

We suggest an approach to cluster analysis based on the ensemble of taxonomic decisions trees. The adaptive algorithm for the ensemble planning that uses distances between logic statements describing clusters is offered. The results of statistical modeling confirm the efficiency of the algorithm.