Our proposed Model-based Semi-supervised Subspace Clustering algorithm ( MSSC) fully integrates constraints information in searching the subspaces and developing a new optimization objective function and successfully breaks the circular dependency problem. 在本文中本文提出的基于模型的半监督子空间聚类算法(MSSC)充分地利用约束信息发现子空间并且提出新的最优化目标函数进而成功地打破了循环依赖问题。