Lumbermark detects clusters by iteratively chopping large limbs off a mutual reachability MST, yielding partitions of user-specified sizes as a robust alternative to HDBSCAN.
Accelerated hierarchical density clustering, in: IEEE International Conference on Data Mining Workshops (ICDMW), pp
2 Pith papers cite this work. Polarity classification is still indexing.
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Attribute-based network partitioning with hydraulic and graph features stabilizes pipe roughness calibration, yielding repeatable results comparable to manual methods for key pipes.
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Lumbermark: Resistant Clustering by Chopping Up Mutual Reachability Minimum Spanning Trees
Lumbermark detects clusters by iteratively chopping large limbs off a mutual reachability MST, yielding partitions of user-specified sizes as a robust alternative to HDBSCAN.
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The Elusive Nature of Roughness: Linking Hydraulics and Graph Theory for Water Distribution Networks Model Calibration
Attribute-based network partitioning with hydraulic and graph features stabilizes pipe roughness calibration, yielding repeatable results comparable to manual methods for key pipes.