A robust dimensionality reduction and matrix factorization framework for data clustering

•Unify matrix factorization and dimensionality reduction together for clustering.•Capture the local data relationship by learning a new affinity matrix.•Improve the robustness of the model with the l2,1-norm.•Develop an efficient algorithm to solve the proposed problem.