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homework:2017-py03 [2017/03/21 19:47] hongxin [Goal] |
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+ | ====== Homework 03 ====== | ||
+ | ===== Goal ===== | ||
+ | implement MOG in 2D case | ||
+ | - Generate sampling points from a 2D Gaussian distribution | ||
+ | - Generate sampling points from a 2D Mixture of Gaussian (MOG) distribution | ||
+ | - Estimate parameters of generated data via step2 by using the E-M method | ||
+ | - Plot iteration results | ||
+ | |||
+ | ===== Optional / Bonus ===== | ||
+ | |||
+ | - implement MOG in n-D case | ||
+ | - add regularization term | ||
+ | |||
+ | ===== Requirements ===== | ||
+ | - Programming lanuage: python | ||
+ | - Plot the results in [[http://matplotlib.org/|matplotlib]] |