各种聚类算法及改进算法的研究

Research Of Various Clustering Algorithm And Its Improved Algorithm

该文详细阐述了数据挖掘领域的常用聚类算法及改进算法，并比较分析了其优缺点，提出了数据挖掘对聚类的典型要求，指出各自的特点．以便于人们更快、更容易地选择一种聚类算法解决特定问题和对聚类算法作进一步的研究。并给出了相应的算法评价标准、改进建议和聚类分析研究的热点、难点。上述工作将为聚类分析和数据挖掘等研究提供有益的参考。

This paper summarizes the basic principles of the clustering algorithm, describes each kind of clustering algorih m in detail, makes comparative analysis on their advantages and disadvantages, puts forward the typical requests of clustering, points out their character- istics so that people can easily find a clustering method that suit a special problem and research further on the clustering algorithm. Finally, the research hotspot, difficulty and and improved advices of the data clustering are addressed. The above work can give a valuable reference for data clustering and data mining.