A novel Constrained Bilinear Factorization Multi-view Subspace Clustering (CBF-MSC) method is proposed, which employs the bilinear factorization with an orthonormality constraint and a low-rank constraint for all coefficient matrices to explore the consensus information of multi-view data more effectively.