homework:2017-py03
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homework:2017-py03 [2017/03/21 19:48] 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]] | ||
homework/2017-py03.txt · Last modified: 2023/08/19 21:02 (external edit)
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