Regression model
鲁棒聚类分析 (TCLUST)
鲁棒聚类分析是一种修剪模型聚类方法，由García-Escudero及其同事于2008年提出，它将连续多变量数据划分为簇，同时抵抗异常值和噪声的影响。通过剔除一小部分最不一致的观测值，它能防止恢复的聚类结构受到离群点的污染。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- García-Escudero, L. A., Gordaliza, A., Matrán, C., & Mayo-Iscar, A. (2008). A General Trimming Approach to Robust Cluster Analysis. The Annals of Statistics, 36(3), 1324-1345. DOI: 10.1214/07-AOS515 ↗
- Riani, M., Cerioli, A., Atkinson, A. C., & Perrotta, D. (2014). Monitoring Robust Regression / Robust Clustering. Statistics and Computing. link ↗
如何引用本页
ScholarGate. (2026, June 1). Trimmed Robust Cluster Analysis (TCLUST). ScholarGate. https://scholargate.app/zh/statistics/robust-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.
- 聚类稳健标准误统计学↔ compare
- MM估计量稳健回归统计学↔ compare
- 稳健判别分析统计学↔ compare
- 鲁棒主成分分析 (RPCA)统计学↔ compare
- W-估计量稳健回归（Welsch / Tukey Bisquare）统计学↔ compare