Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
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Bi-stochastic normalization provides an alternative normalization of graph Laplacians in graph-based data analysis and can be computed efficiently by Sinkhorn-Knopp (SK) iterations. This paper proves the convergence of bi-stochastically normalized graph Laplac... ...
