Latent structureMultivariate analysis
稳健多重对应分析 (Robust MCA)
稳健多重对应分析将经典多重对应分析扩展到包含离群值或非典型分类数据行的数据集。通过在奇异值分解之前降低有影响力的观测值的权重，它生成一个低维的类别关系图，该图忠实地表示了大部分数据，而不是被少数异常案例扭曲。
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来源
- Greenacre, M. J. (2017). Correspondence Analysis in Practice (3rd ed.). Chapman & Hall / CRC Press, Boca Raton. ISBN: 978-1498731775
- Hubert, M., Rousseeuw, P. J. & Verboven, S. (2004). A robust PCR method for high-dimensional regressors. Journal of Chemometrics, 17(8–9), 438–452. DOI: 10.1002/cem.783 ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Multiple Correspondence Analysis. ScholarGate. https://scholargate.app/zh/statistics/robust-multiple-correspondence-analysis
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