摘要
根据聚类分析方法中密度凝聚的思想 ,提出一种新的复合聚类分析算法 ,进一步将这种算法用于地理信息系统的数据挖掘 ,并应用于船舶航线的自动设计。
This paper presents a new integrated clustering analysis algorithm to extract data patterns from database of GIS. The basic idea is that k-means algorithm is merged into desnity method and then the shortage in redundant initiali- zation can be overcome when only one of the methods is used. Also, its applications in the data mining of GIS is discussed. Some analyzed results show that ship-routing automatic design can be much improved by using the fusion clustering algorithm in database of GIS.
出处
《中国航海》
CSCD
北大核心
2003年第3期1-4,共4页
Navigation of China
基金
中法国际合作项目
上海市教委重点学科沪教委科 (2 0 0 1) 71资助
