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  1. Feature Dimension Reduction
    1. Principal Component Analysis

[Theory] [Detection and Pattern Recognition] ch6

Feature Dimension Reduction

Feature Selection:

  • sequential floating forward selection (SFFS)

Feature Transform:

  • principal component analysis (PCA)
  • linear discriminant analysis (LDA)

Principal Component Analysis

Note:

  • powerful tool in data compression
  • the optimum transform matrix W depends on signal itself