Spectral clustering

Subspace Clustering by Block Diagonal Representation

In this work, we first consider a general formulation and provide a unified theoretical guarantee of the block diagonal property of the solutions.

Convex Sparse Spectral Clustering: Single-view to Multi-view

We propose a novel convex relaxation of SSC based on the convex hull of the fixed rank projection matrices.

Learning Markov Random Walks for Robust Subspace Clustering and Estimation

We introduce a regularized MRW learning model, using a low-rank penalty to constrain the global subspace structure, for subspace clustering and estimation.