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Computer

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Artificial Intelligence (AI) - Cognitive Computing - Machine Intelligence

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AI - Subfields

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Machine Learning (ML) - Pattern Recognition

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ML - Models

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Features - Feature Functions - Feature Engineering - Feature-Based Models

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Feature Dimensional/Dimensionality Reduction

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Feature Projection/Extraction - Embeddings

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Two/Multi-Group Multiple Discriminant/Discriminative Analysis

Quadratic Discriminant/Discriminative Analysis (QDA)

Created on Aug 15, 2021 · Last Modified on Aug 18, 2021

Quadratic Discriminant/Discriminative Analysis (QDA)
  • is a variant of LDA in which an individual covariance matrix is estimated for every class of observations
  • QDA is particularly useful if there is prior knowledge that individual classes exhibit distinct covariances
  • a disadvantage of QDA is that it cannot be used as a dimensionality reduction technique

QDA - Other

  • Linear Discriminant Analysis (LDA) vs Quadratic Discriminant Analysis (QDA)