Programming 1 Gaussian

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  • Goal : Generate random samples of multiple Gaussians according to specified mean vector and covariance matrix.
  • Instructions :
    • Read Section 1.3 of the AMA book.
    • Practice Example 1.3.1, Example 1.3.2, Example 1.3.3.
    • Complete Exercise 1.3.1.
    • Write a report with a web page.
  • Readings : AMA Sec. 1.3
    • (AMA) S. Theodoridis, A. Pikrakis, K. Koutroumbas, D. Cavouras, Introduction to Pattern Recognition: A Matlab Approach, Academic Press, 2010. [PDF download from FJU Library]
      • Chapter 1 Classifiers based on Bayes Decision Theory [PDF]
        • Section 1.3 The Gaussian Probability Density Function
  • Report : Create a web page with text descriptions (Chinese or English) and images/pictures to
      • Explain multivariate Gaussian probability distribution function (PDF)
      • Describe the purpose of examples and exercise
      • Explain the program codes of examples and exercise
      • Explain the results of examples and exercise
  • Submit your web address by Google Classroom.