Competency Evaluation System of English Teaching Post based on K-Means Clustering Algorithm

With the rapid development of big data, user data information is increasingly perfect, data warehouse integration is more reasonable, and data quality is constantly improving, so the value of data is increasing. Based on parallel processing of K-means clustering algorithm, this paper extracts ability constraint information, integrates K-means clustering algorithm, clusters and integrates various index parameters of post competency. From the final experimental results, this method improves the execution efficiency and accuracy compared with other methods, and can be used in practice.