计算机与数字工程Issue(7)：1141-1145,5.DOI:10.3969/j.issn1672-9722.2014.07.007
一种自动计算参数的多密度网格聚类算法
A Multi-density Grid Clustering Algorithm to Calculate Parameters Automatically
李光兴 1唐俊 1易林 1徐彬1
作者信息
- 1. 成都农业科技职业学院基础部 成都 611130
- 折叠
摘要
Abstract
Aiming to address the issues of excessive reliance of parameters and long processing time resulted from the high complexity in clustering of multi-density data set ,a multi-density grid clustering algorithm to calculate parameters auto-matically(MGCP) is proposed .This method uses the discriminant function ,which is based on the unit density and the unit centroid distance ,to automatically determine the similar threshold according to the statistical information of discriminant function .The experimental results indicate the MGCP algorithm can effectively process the class with arbitrary shape or dif-ferent densities .This algorithm can achieve a higher cluster precision in a shorter time span .关键词
网格聚类/邻接单元/判别函数/相似阈值/参数计算Key words
grid clustering/adjacent unit/discriminant function/similar threshold/parameter calculation分类
信息技术与安全科学引用本文复制引用
李光兴,唐俊,易林,徐彬..一种自动计算参数的多密度网格聚类算法[J].计算机与数字工程,2014,(7):1141-1145,5.
