基于网格密度的聚类算法研究  

Research of Clustering Algorithm based on Mesh Density

作　　者：冯涛[1] 崔炳德[1] 

机构地区：[1]河北工程技术高等专科学校计算机系,河北沧州061001

出　　处：《煤炭技术》2012年第3期228-229,共2页Coal Technology

摘　　要：随着互联网以及计算机技术的不断发展,现实中所需要研究数据的数量不断增长,如何更好的将所要研究的数据进行有效划分,进而降低维度或者是降低数据量成为了数据挖掘研究的热点。针对传统聚类算法的缺点,提出了基于网格密度的聚类算法,能够提高数据运算速度并且有效解决了边界模糊的问题。With the development of the Interact and computer technology, the data need to study in reality has a growing amount. How to effectively divide the data into different classes in order to make the study easier, by reducing the dimensions or reducing the amount of data, has become a hot research point of data mining. For the shortcomings of traditional clustering algorithms. A clustering algorithm based on grid density is presented, to improve data processing speed and effectively solve the problem of fuzzy boundaries.

关 键 词：网格 密度 聚类算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]