A three-phase approximate MST algorithm using ANN graphs, random component linking, and local edge refinement achieves near-linear scaling with small error on large high-dimensional data.
Nearest-neighbor search on a time budget via max-margin trees,
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FAMST: Fast Approximate Minimum Spanning Tree Construction for Large-Scale and High-Dimensional Data
A three-phase approximate MST algorithm using ANN graphs, random component linking, and local edge refinement achieves near-linear scaling with small error on large high-dimensional data.