A study of the grid and density based algorithm clustering

被引：0
|
作者：
Lin, SD [1 ]
机构：
[1] Nat Sci Fdn Zhejiang, Hangzhou 310007, Peoples R China
来源：
Proceedings of the 2005 International Conference on Management Science and Engineering | 2005年
关键词：
grid; density; algorithm clustering;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
In this article, there is a grid and density based algorithm clustering in the data mining will be discussed. The algorithm gives up the concept of distance and it takes a totally different approach. It can automatically find out subspaces containing interesting patterns we want and discover all clusters in the subspace. Besides, it performs well when dealing with high dimensional data and has good scalability when the size of the data sets increase.
引用
收藏
页码：1160 / 1163
页数：4
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