说明：  DBSCAN（Density-Based Spatial Clustering of Applications with Noise） 为一种基于密度的聚类算法，它不仅可以找出具有任何形状的簇，而且还可以用于检测离群值。其基本思想为数据点分布紧凑的应被划分为一类，而周围未分布有或仅有极少数点的数据点则有可能为离群值。通过python实现了该聚类方法的计算。
(DBSCAN (density based spatial clustering of applications with noise) is a density based clustering algorithm. It can not only find clusters with any shape, but also detect outliers. The basic idea is that the data points with compact distribution should be divided into a class, while the data points with few or no distribution around may be outliers. This clustering method is implemented by python.)