用于不同密度聚类的多阶段等密度线算法

Clustering Datasets Containing Clusters of Various Densities

多阶段等密度线算法是在基于网格的等密度线聚类算法的基础之上,采用多阶段的聚类方式来解决分布密度变化较大的数据集的聚类分析问题.该算法能够找出分布密度不同的各种类别,并能很快地处理高维数据集.此外,还能有效地对时间序列数据集进行聚类.

The datasets for clustering usually contain clusters of various densities. Few clustering algorithms can handle such kind of datasets. Our algorithm strives to solve the problem in a multi-stage manner. It can discover clusters of different densities effectively. Besides, it can handle high-dimensional datasets and can cluster time-series datasets as well.