关键词: 聚类, 数据竞争, 聚合场, 多视图, 视图相关因子

Abstract: Since the existing single view data competition clustering algorithm has poor performance on multiple views data, a view correlation factor based multi-view data competition clustering algorithm is proposed. Firstly, a view correlation factor is defined as the correlation between different views. Next, the view correlation factors are combined with spectral objective function maximum problem, and a joint objective function which can make full use of information from different views is built to make the information interaction between different views. By solving the joint objective function optimization problem, the optimized embedding matrices of each view are obtained. Then, the optimized embedding matrices are used in data competition clustering algorithm. The simulation results on synthetic and real life datasets show that the proposed algorithm can obtain better performance than existing data competition clustering algorithm.

Key words: clustering, data competition, aggregation field, multi-view, view correlation factor