Semi supervised learning via sparse model

Graph-based Semi-Supervised Learning (SSL) methods are the widely used SSL methods due to their high accuracy. They can well meet the manifold assumption with high computational cost, but don't meet the cluster assumption. In this paper, we propose a Semi-supervised learning via SPArse (SSPA) mo