Application of clustering algorithm in the feature analysis of network learning behavior

Cluster analyses learning behavior feature of learners in the network learning, using clustering algorithm, classify learning behavior feature of learners, construct learner model library and provide a reference to education policy-makers so that they can make timely scientific, rational, and personalized teaching strategies, based on the personality feature of learners, and achieve personalized and intelligent of network education.