A neighborhood selection algorithm for manifold learning

Manifold learning is an effective algorithm for nonlinear dimensionality reduction. The key problem of manifold learning is to confirm the neighborhood relation. For a given range, if the points can approximate a hyper plane, the neighborhood relation is clear, otherwise, the relation is fuzzy. In this paper, we studied the adjacent weights feedback of… CONTINUE READING