方法证据记录
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Semi-supervised Hierarchical Density-Based Spatial Clustering of Applications with Noise
分类方法记录 · ml-model / machine-learning
- 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. · URL
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