K-means clustering algorithm application in university libraries

This paper has finished data mining from library management system by K-means algorithm of the cluster analysis, made cluster analysis on various characteristics of readers´ grades and departments and thus gained the cluster results. The cluster results show that the library procurement department shall add the books of English reading materials, computational linguistics, computer operation, social-romantic novels, etc. so as to satisfy the demand of the student readers. The cluster results to a certain extent can be taken as a guide to rationalize the distribution of library resources and increase the resource utilization and thus improving the service level.