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Semi-supervised HDBSCAN

Semi-supervised HDBSCAN udvider Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) algoritmen ved at inkorporere delvis supervision — såsom must-link og cannot-link parvise begrænsninger eller et lille sæt mærkede eksempler — til at guide den tæthedsbaserede klyngehierarki mod klyngetildelinger, der er konsistente med tilgængelig domæneviden.

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Kilder

  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

Sådan citerer du denne side

ScholarGate. (2026, June 3). Semi-supervised Hierarchical Density-Based Spatial Clustering of Applications with Noise. ScholarGate. https://scholargate.app/da/machine-learning/semi-supervised-hdbscan

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Refereret af

ScholarGateSemi-supervised HDBSCAN (Semi-supervised Hierarchical Density-Based Spatial Clustering of Applications with Noise). Hentet 2026-06-15 fra https://scholargate.app/da/machine-learning/semi-supervised-hdbscan · Datasæt: https://doi.org/10.5281/zenodo.20539026