To achieve a graph abstraction,a hierarchical clustered graph is extracted from a general large graph based on the community structures discovered in the graph.

Research of immune image clustering algorithm based on space histogram;

Structured image clustering based on fusion of visual and semantic features;

Hierarchical Fuzzy Min-Max Clustering Algorithm and Its Application on Image Clustering;

As an important means for knowledge discovery,graph clustering attracts much attention in analysis of the complex biological networks,attaining remarkable results in remote homology detection,protein function.

This paper mainly discusses study background, significance, present situation at home and abroad as well as key problems where the Graph Clustering Algorithm (GCA) has been confronted with.

Then the comparability of calibration interval between each testing resource is analyzed using fuzzy clustering method,a dynamic clustering chart can be gained.