A High-Dimensional Modeling System Based on Analytical Hierarchy Process and Information Criteria

High-dimensional data sets frequently occur in several scientific areas, and special techniques are required to analyze these types of sets. Especially, it becomes important apply a suitable model classification problems. In this study, novel approach is proposed estimate statistical for high-dimensional The method uses analytical hierarchical process (AHP) information criteria determining the optimal PCs model. “colon” “gravier” datasets were used evaluation part. Application results demonstrate that can be successfully modeling purposes.