Base on rough set of clustering algorithm in network education application

This article clusters analysis the learning features of network education learners, by using a clustering algorithm based on rough set. It falls the learning features of the learners into several categories and establishes learners model library, offering teachers and web-based teaching platform designers to make decision and refer, to make them be able to develop relevant teaching strategies, improve the teaching platform functionality, based on learner features, and achieve personalization of network education and intelligent of web-based teaching platform.