Visualization of High-dimension Data and the Study of Quick-Clustering Algorithms
高维数据的可视化和快速聚类算法

This paper gives an approach to a distance algorithms of which can be used into quick-clustering through a visual method of high-dimension data. The new method has robustness and lower computering complexity. At last, it is used into clustering algorithms of financial data cube, which is used to mine banker deed mode and whether is pursuant from manipulating deed or not.