计算机工程与应用2012，Vol.48Issue(36)：186-189,4.DOI:10.3778/j.issn.1002-8331.1201-0087
SA-BFSN:一种自适应基于密度聚类的算法
SA-BFSN: adaptive algorithm based on density clustering
摘要
Abstract
Algorithm for BFSN defects that require manual input parameters r and λ , an adaptive SA-BFSN clustering method that can automatically determine r and λ is proposed. The method determines r by Inverse Gaussian fitting parameters, and by analyzing the distribution of the number of noise points to select the appropriate value of λ. Algorithm tests show that use of SA-BFSN doesn' t need human input parameters, to achieve full automation of the clustering process, to deal effectively with any shape, size and density of the cluster.关键词
数据挖掘/密度聚类/基于广度优先搜索邻居的聚类算法(BFSN)/自适应基于广度优先搜索邻居的聚类算法(SA-BFSN)Key words
data nining/ density clustering/ Broad First Search Neighbors (BFSN)/ Self-Adaptive Broad First Search Neighbors (SA-BFSN)分类
信息技术与安全科学引用本文复制引用
陈昊,侯慧群,杨承志,邱磊..SA-BFSN:一种自适应基于密度聚类的算法[J].计算机工程与应用,2012,48(36):186-189,4.
