A Hierarchical Clustering Algorithm Based on GiST

The hierarchical clustering is an important method of clustering analysis. This kind of method can decompose the data into different levels, and the clustering result has a hierarchical coarseness to fine representation characteristic. In this paper, a new hierarchical clustering method based on GiST is proposed, which could store the structure of the tree generated during the clustering procedure in the hard disk. So it can support very detail analyzing procedure. The users can discover the relationship among clusters conveniently with this method.