Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation
Table I: Clustering Performance of different methods on Reuters-21578.
['[EMPTY]', 'Clustering', 'Normalized Mutual']
Comparison Results. It can be seen from the results that our approach is better than the other methods in terms of both the clustering accuracy and the normalized mutual information. This is because our method uses the AOG representation which organizes the information in a hierarchical way and embeds the contexts between different components. The cluster sampling method SWC also plays an important role in getting the optimal solution. Other methods generally use the basic word distributions and most of the solutions they get are not global optimal.