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homework:2017-py03

Homework 03

Goal

implement MOG in 2D case

  1. Generate sampling points from a 2D Gaussian distribution
  2. Generate sampling points from a 2D Mixture of Gaussian (MOG) distribution
  3. Estimate parameters of generated data via step2 by using the E-M method
  4. Plot iteration results

Optional / Bonus

  1. implement MOG in n-D case
  2. add regularization term

Requirements

  1. Programming lanuage: python
  2. Plot the results in matplotlib
homework/2017-py03.txt · Last modified: 2017/03/21 11:48 by hongxin