【摘要】 在综合分析基于划分的K均值聚类算法和基于层次的凝聚聚类算法的基础上,借鉴各种混合聚类方法,提出了一种执行效率更高和聚类质量更好的分阶段混合聚类算法(HCAP)。给出HCAP的策略思想、算法描述及性能分析,基于二维数据空间的模拟样本数据的实验验证该算法的有效性和合理性,在某些方面应用性能优于原算法。更多还原

【Abstract】 A new hybrid clustering algorithm in phase(HCAP) of high-efficiency and good quality was put forward on the foundation of synthetically analyzing K-means clustering algorithm based on partition and agglomerative clustering algorithm based on hierarchy,and consulting some improved hybrid clustering algorithms.The strategy,description and capability analysis of the HCAP were presented.Experimental results on simulating sample data of planar data space show that the HCAP is effective and reasonable,and is better than old algorithms at some aspects.更多还原