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Latent structureMultivariate analysis

混合模型

混合模型假设总体由 K 个未观测到的亚总体组成,每个亚总体都由其自身的概率分布描述。观测数据被视为这些组成部分分布的加权组合的抽样。它提供了一种有原则的、基于模型的替代方案,以解决临时聚类问题,并支持对不同数量组成部分的解决方案进行正式比较。

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来源

  1. McLachlan, G. J. & Peel, D. (2000). Finite Mixture Models. Wiley-Interscience. ISBN: 978-0471006268
  2. Fraley, C. & Raftery, A. E. (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association, 97(458), 611–631. DOI: 10.1198/016214502760047131

如何引用本页

ScholarGate. (2026, June 3). Finite Mixture Modeling. ScholarGate. https://scholargate.app/zh/statistics/mixture-modeling

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被引用于

ScholarGateMixture Modeling (Finite Mixture Modeling). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/mixture-modeling · 数据集: https://doi.org/10.5281/zenodo.20539026