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

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  • Tuba Koç

Abstract

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

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  • Tuba Koç, 2021. "A High-Dimensional Modeling System Based on Analytical Hierarchy Process and Information Criteria," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, August.
    • Handle: RePEc:hin:jnlmpe:6198317
    DOI: 10.1155/2021/6198317
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