【摘要】 提出了一种基于传递闭包的模糊聚类方法,并应用于Web日志聚类中,实验结果表明,该算法能够有效实现Web用户聚类,并且能够避免陷入局部最优解。最后与模糊C均值算法进行比较,并讨论了算法的运行时间和错分率。更多还原

【Abstract】 The fuzzy clustering method was proposed based on the transitive closure is and it was applied to web log clustering.The experiments show the algorithm is more effective in web user clustering and avoiding falling into the local optimal solution.It was compared with fuzzy C-means algorithm.The running time and error rate of the algorithm were discussed.更多还原