Clustering and projected clustering with adaptive neighbors

This paper proposes a novel clustering model to learn the data similarity matrix and clustering structure simultaneously and derives an efficient algorithm to optimize the proposed challenging problem, and shows the theoretical analysis on the connections between the method and the K-means clustering, and spectral clustering.