| Abstract [eng] |
In this work there was analysed theory of hierarchical two stage classification procedures of two and three class limiting wrong classification probabilities α_ij, i,j=1,2,..,m, or the posterior classification probabilities β_ji, i,j=1,2,..,m. The first stage of hierarchical classification various problems related with decision making areas was detailed examined and solved. In addition the second stage of hierarchical classification had been added and analysed, too. Theoretical analysis of the classification, which had been illustrated according to Fisher's Iris Plants Database (Fisher, 1936), was demonstrated that the hierarchical two stage classification procedure may be more economical option than the classification tasks without the rejection option. Also, the results of hierarchical two stage classification procedure were classified with 2 - 3% higher accuracy than the shared data classification tasks without the rejection option. Accomplished theoretical analysis may be useful not only to students as an additional resource for learning, but also it could be continued scientific research for various real data using SAS software IML procedure algorithm, which had been created to find the constants of classification rules and evaluate classification rules accuracies of the classification probabilities. |
