Research on Intelligent Clustering Model of Undergraduate English Achievement Based on K-means Algorithm

Abstract

The K-means clustering algorithm is used to cluster the students’ scores. After data preprocessing, the clustering is carried out and a visual class diagram is generated to understand the weaknesses of each class of students in English. The results show that this teaching model enables teachers to carry out targeted teaching according to the learning characteristics of undergraduates and effectively improve their English scores.