【摘要】 CLIQUE算法是基于密度和网格的一种聚类分析算法,对于大型高维空间数据的聚类分析具有很高的效率,能得到优质的聚类结果.通过分析CLIQUE算法的特点、聚类过程中的关键问题及算法步骤,运用实验数据对算法进行了测试,对聚类结果进行分析讨论,发现算法的不足,说明了改进的思路,为以后研究工作指明了方向.更多还原

【Abstract】 CLIQUE algorithm is a kind of the cluster analysis algorithm based on density and grid.It has high efficiency to cluster for the large database in high-dimensional,and can obtain the high-quality clustering results.This paper analyzed the CLIQUE algorithms’ characteristics,the chief problems and the algorithm process.At last,the paper tested many experimental data for clustering,and analyzed the clustering result.Its’ to find the algorithm’s insufficiency,and offer improved method.It pointed out the direction to research work for the future.更多还原