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In view of the problems and shortcomings of the current college students’ achievements evaluation methods, a multi-view rank sum ratio(RSR) comprehensive evaluation method of students’ achievements was proposed. The method integrated the two factors of curriculum importance and students’ learning ability when determining the weight. Then combined with the RSR ranking method, the comprehensive evaluation ranking of students’ achievements was carried out. This method overcomes the subjectivity of weight setting and maximally reflects the integrity of information. Finally, through the empirical analysis, the method was compared with the average score method and intellectual education evaluation method, and the effectiveness of the method was verified through the ranking results comparison.

Panel data is composed of three dimensions: object, index and time, it has no mature clustering algorithm because of its complexity and dynamic data structure. Two clustering methods for multi index panel data are proposed in this paper. These two methods are respectively weighted from the index perspective and time perspective, and on this basis, the two-step clustering method is used for clustering. Then these methods are applied to cluster analysis of regional economy. The empirical results show that these two methods can effectively complete the clustering of the research objects, and have their own emphasis on the feature extraction angle of the panel data.

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