Multi-view clustering methods have been a focus in recent years because of their superiority performance. However, typical traditional multi-view algorithms still shortcomings some aspects, such as removal redundant information, utilization various views and fusion features. In view these problems, this paper proposes new method, low-rank subspace based on adaptive graph regularization. We cons...