计算机工程2011，Vol.37Issue(16)：176-178,181,4.DOI:10.3969/j.issn.1000-3428.2011.16.060
基于信息熵的空间对象群聚类算法
Clustering Algorithm for Spatial Object Group Based on Information Entropy
摘要
Abstract
For the clustering of spatial object group constructed based on spatial relationship, this paper presents a clustering algorithm for spatial object group based on information entropy, named ESOGC. ESOGC is different from the other clustering algorithms, and it takes variety data types and the number of objects into full account in spatial object group. Through the change of information entropy within a same region, ants determine whether to pick up or drop the current spatial object group to realize the clustering of spatial object group. Experimental results show it can solve the problems of different data types, attribute value, and number.关键词
空间对象群/空间关系/聚类/信息熵/蚁群算法Key words
spatial object group/spatial relationship/clustering/information entropy/ant colony algorithm分类
信息技术与安全科学引用本文复制引用
刘建兴,鲍培明..基于信息熵的空间对象群聚类算法[J].计算机工程,2011,37(16):176-178,181,4.基金项目
国家自然科学基金资助项目(40871176) （40871176）
