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Parametric Data Reduction: Regression and Log-Linear Models

  • Linear regression
    • Data modeled to fit a straight line
    • Often uses the least-square method to fit the line
  • Multiple regression
    • Allows a response variable Y to be modeled as a linear function of multidimensional feature vector
  • Log-linear model
    • Approximates discrete multidimensional probability distributions

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