Machine learningMachine learning
半监督 HDBSCAN
半监督 HDBSCAN 通过引入部分监督信息（例如，必连和禁连成对约束，或少量带标签样本）来扩展分层密度聚类算法（Hierarchical Density-Based Spatial Clustering of Applications with Noise, HDBSCAN），以引导基于密度的聚类层次结构，使其生成的聚类分配与可用的领域知识保持一致。
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来源
- 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 ↗
- HDBSCAN. Wikipedia. link ↗
如何引用本页
ScholarGate. (2026, June 3). Semi-supervised Hierarchical Density-Based Spatial Clustering of Applications with Noise. ScholarGate. https://scholargate.app/zh/machine-learning/semi-supervised-hdbscan
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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