呉國寶教授による特別セミナー / Special Seminar by Prof. Ng, Michael Kwok-Po

In real-life application, multiple graphs clustering have been shown a great clustering performance by exploiting heterogeneous information from various correlated graphs. Leveraging inter-relations information among different graphs has also been demonstrated an effective way to achieved better clustering result.

In this talk, we discuss some recent results for multiple graphs clustering.

Experimental results on both synthetic data sets and real data sets are also presented to illustrate the discussion.