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  • Reference
  • Introduction
  • Case 1: If the same covariance for each class: Linear Classifier
  • Case 2: If different covariance: Quadratic Classifier
  • Linear Classifier: Linear Discriminant Analysis (LDA)
  • Quadratic Classifier
  • Example

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  1. Machine Learning
  2. ML Notes
  3. Bayesian Classifier

Bayesian Classifier for Normally Distributed classes

PreviousTerminology ReviewNextLinear Discriminant Analysis

Last updated 3 years ago

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Reference

Click here for Lecture PPT: TAMU

Introduction

Bayes classifier for Normally distributed classes.

Case 1: If the same covariance for each class: Linear Classifier

Case 2: If different covariance: Quadratic Classifier

When the likelihood is expressed as a normal distribution:

Linear Classifier: Linear Discriminant Analysis (LDA)

The boundary function can be expressed as a linear function gi(x)=wiTx+big_i(x) = \bf{w_i^Tx } + b_igi​(x)=wiT​x+bi​

Quadratic Classifier

Example