A Fusion Clustering Analysis Algorithm and Its Application in Marine Engineering

摘要

Clustering analysis is an important approach of data mining, this paper proposed a fusion clustering analysis algorithm based on Coonan network and multi-scale smoothing. Compared with k-means algorithm merged in density-based and integrated clustering analysis algorithm, the new algorithm has more value in data mining. This algorithm can immensely avoid the effect on accumulation points from boundary points, and can automatically find representative accumulation points in all kings of shapes. And also its application in marine engineer has been discussed in the paper. Some analysis results indicated the significant improvement to ship-course design with the new algorithm.