Machine learningMachine learning

Semi-supervised HDBSCAN

Semi-supervised HDBSCAN extends the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm by incorporating partial supervision — such as must-link and cannot-link pairwise constraints or a small set of labeled examples — to guide the density-based cluster hierarchy toward cluster assignments that are consistent with available domain knowledge.

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Sources

  1. McInnes, L., Healy, J., & Astels, S. (2017). hdbscan: Hierarchical density based clustering. Journal of Open Source Software, 2(11), 205. DOI: 10.21105/joss.00205
  2. HDBSCAN. Wikipedia. link

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Referenced by

ScholarGateSemi-supervised HDBSCAN (Semi-supervised Hierarchical Density-Based Spatial Clustering of Applications with Noise). Retrieved 2026-06-04 from https://scholargate.app/en/machine-learning/semi-supervised-hdbscan