Latent structureMultivariate analysis
聚类分析
聚类分析是一系列无监督的多变量技术，它根据测量的特征将一组对象或观测值划分为内部同质、相互区别的组（簇），而无需预先了解组的成员身份。它广泛应用于市场细分、生物信息学、心理学和社会科学，以揭示数据中的自然分组。
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Method map
The neighbourhood of related methods — select a node to explore.
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来源
- Everitt, B. S., Landau, S., Leese, M. & Stahl, D. (2011). Cluster Analysis (5th ed.). Wiley. ISBN: 978-0470749913
- Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
如何引用本页
ScholarGate. (2026, June 3). Cluster Analysis. ScholarGate. https://scholargate.app/zh/statistics/cluster-analysis
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.
- 判别分析统计学↔ compare
- 探索性因子分析（EFA）统计学↔ compare
- 潜在类别分析 (Latent Class Analysis, LCA)统计学↔ compare
- 混合模型统计学↔ compare
- 多维尺度分析 (MDS)统计学↔ compare