A novel self Adaptive Support Vector Clustering algorithm (ASVC) is proposed in this paper to cluster dataset with diverse
dispersions. And a Kernel function is defined to measure affinity between multi-relational data. Task of clustering multi-relational
data is addressed by integrating the designed Kernel into ASVC. Experimental results indicate that the designed Kernel can
capture structured features well and ASVC is of fine performance.