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二次判别分析 (QDA)

二次判别分析是一种生成式分类器,它用各自的多变量高斯分布来模拟每个类别,允许每个类别拥有独立的协方差矩阵。与假设共享协方差并产生线性边界的线性判别分析不同,QDA 的每类协方差会产生二次(弯曲)决策边界,使其能够捕捉类别在散布和方向上的差异。

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来源

  1. Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning (2nd ed.). Springer. ISBN: 978-0-387-84857-0
  2. James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An Introduction to Statistical Learning. Springer. ISBN: 978-1-4614-7138-7

如何引用本页

ScholarGate. (2026, June 2). Quadratic Discriminant Analysis (QDA). ScholarGate. https://scholargate.app/zh/machine-learning/quadratic-discriminant-analysis

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被引用于

ScholarGateQuadratic Discriminant Analysis (Quadratic Discriminant Analysis (QDA)). 于 2026-06-15 检索自 https://scholargate.app/zh/machine-learning/quadratic-discriminant-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026