The Application of Clustering Algorithm in College Student Information Management

To solve the problem that the traditional students' information processing ability is limited with the massive increase of students' information, the application of clustering algorithm in the student information management system of colleges and universities is proposed. In this research, taking the application of clustering algorithm in three aspects of student comprehensive evaluation, student performance evaluation, and classroom teaching evaluation as examples, the clustering algorithm that is competent for student information data processing is selected. The experimental results show that there are 9 students in the second category of good, among which the student number 084210123 scored 70 points for data structure, which is lower than the lowest score of 73 in the third category of medium. This result is equivalent to the passing category of the fourth category, and it may be more appropriate to classify it as a passing category. The 10 teachers are divided into 3 categories, namely {2, 4, 6, 7, 10}, {5, 8} and {1, 3, 9}, and their grades are B, C, A. The experimental results are consistent with the division of the given data. It is concluded that the clustering algorithm has a good development space in the field of student information management.