2019
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering
CVPR 2019poster
Unsupervised clustering for high-dimension data (such as imageset or video) is a hard issue in data processing and data mining area since these data always lie on a manifold (such as Grassmann manifold). Inspired of Low Rank representation theory, researchers proposed a series of effective clusterin…