Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
Cheng X, Landa B. Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise. Information And Inference A Journal Of The IMA 2024, 13: iaae026. PMID: 39309272, PMCID: PMC11415053, DOI: 10.1093/imaiai/iaae026.Peer-Reviewed Original ResearchMatrix scaling problemSinkhorn-KnoppGraph Laplacian operatorGraph-based data analysisManifold dataText]-dimensionalLog factorLaplacian operatorInner productHigh-dimensional spaceConvergence rateGraph LaplacianNumerical experimentsAlternative normalizationNoise vectorGraphApproximate onesOutlier noiseTheoretical resultsConsistency rateData vectorsSK-iterationsKernel bandwidthConvergenceScale problems
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