Unsupervised multi-view feature extraction with dynamic graph learning

• We devise a framework that unifies dynamic graph and feature extraction learning. • An effective optimization solution guaranteed desirable convergence is proposed. • Extensive experiments on public multi-view datasets demonstrate the proposed method.