Fiedler number maximization as regularization, combined with greedy edge selection and Cheeger-cut partitioning, produces more robust sparse connected graph estimates from limited data than prior methods.
Majorization- minimization algorithms in signal processing, communications, and machine learning,
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Sparse Graph Learning from Sparse Data via Fiedler Number Maximization
Fiedler number maximization as regularization, combined with greedy edge selection and Cheeger-cut partitioning, produces more robust sparse connected graph estimates from limited data than prior methods.