Research and Implementation of Clustering Algorithm Based on DBSCAN
Guoqiang Guo · Jisuanji gongcheng · 2004
As an analyzing method of clustering algorithm in data mining,DBSCAN finds relatively dense regions,which are clusters. This paper analyses localization of the traditional clustering algorithm,discusses an implementation of DBSCAN. The algorithm digs out high dimension space and deals with data form. The high accuracy and efficiency of DBSCAN clustering algorithm are shown in the experiments.