A Data Mining Method for GIS in Marine Engineering
Tianzhen Wang · Navigation of China · 2003
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.