Applying grey relational analysis to dimension reduction based on difference information theory

In this paper, a novel dimension reduction approach with the application of grey relational analysis based on difference information theory is proposed. In this approach, dimension reduction process is performed based on the calculation of the similarity between each pair of dimensions with the application of grey relational analysis. The effectiveness and efficiency of the proposed approach is proved by the experiments on real-world datasets.