Research on web log mining based on genetic clustering algorithm
Zhang Yan-xiao · Information technology newsletter · 2011
K-means clustering algorithm has the shortcoming that plunges into a local optimum prematurely because of sensitive selection of initial cluster center.Using improved genetic algorithm into K-means clustering algorithm can optimize the cluster centers.In the evolutionary process,the parent individuals that have high fitness are selected.At the same time,Pc and Pm are adjusted dynamic according to the individual fitness to avoid premature convergence.This paper researched on users cluster and pages cluster for college's web logs and a good cluster effect by using the improved genetic algorithm is gotten.