An ANN-based clustering analysis algorithm with Dynamic Data Window

Clustering analysis is an important approach of data mining. This paper presents an ANN-based clustering analysis algorithm with Dynamic Data Window (DDW). Comparing with k-means algorithm merged in density-based and integrated clustering analysis algorithm, the new clustering analysis algorithm based on artificial neural networks and combining with DDW has more valuable in data mining. This algorithm can immensely avoid the effect on accumulation points from boundary points, and can automatically rind representative accumulation points in all kings of shapes. Furthermore its applications in GIS will be discussed in the paper. Some analysis results show the significant improvement to ship-routing design with the clustering analysis algorithm based on ANN and DDW in database of GIS.