Machine learning
层次聚类
层次聚类是一种无监督方法，它将观测值分组到嵌套的簇中，并将结果绘制成树状图，因此不必预先确定簇的数量。其凝聚形式基于 Joe Ward 于 1963 年提出的目标函数分组标准。
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来源
- Ward, J. H. (1963). Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association, 58(301), 236–244. DOI: 10.1080/01621459.1963.10500845 ↗
如何引用本页
ScholarGate. (2026, June 1). Hierarchical Agglomerative Clustering. ScholarGate. https://scholargate.app/zh/machine-learning/hierarchical-clustering
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