A Parallel Projection Method for Metric Constrained Optimization

29 Jan 2019 Cameron Ruggles Nate Veldt David F. Gleich

Many clustering applications in machine learning and data mining rely on solving metric-constrained optimization problems. These problems are characterized by $O(n^3)$ constraints that enforce triangle inequalities on distance variables associated with $n$ objects in a large dataset... (read more)

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