how I can use gaussian mixture model to calculate a statistical value

Question

ZhG 2013-11-22

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/107197-how-i-can-use-gaussian-mixture-model-to-calculate-a-statistical-value

评论： Bruno Pop-Stefanov 2013-11-22

Hello,

I have a set of spacial point, i.e. coordinate (x,y) of each point. I want to use the gaussian mixture model. But, how I can calculate one or several statistical values of these point?

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Bruno Pop-Stefanov 2013-11-22

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/107197-how-i-can-use-gaussian-mixture-model-to-calculate-a-statistical-value#answer_116041

编辑：Brewster 2013-11-22

MATLAB implements the Expectation-Maximization algorithm to fit a Gaussian mixture to some data. Use the gmdistribution.fit function from the gmdistribution class on your input data. There is a detailed example showing you the steps here. You can then have access to the means and covariances of each distribution in the mixture. Does that answer your question?

4 个评论
显示 2更早的评论隐藏 2更早的评论

ZhG 2013-11-22

And is there any bivariate gaussian model in Matlab? Thanks again.

Bruno Pop-Stefanov 2013-11-22

You have to specify the number of Gaussian models in your mixture; that's the parameter k.

X represents the data you would like a Gaussian mixture to fit to. If you have 2D points, then X is a list a (x,y) coordinates, i.e. a N-by-2 matrix. If your X is a vector, then your data is 1-dimensional.

The dimensions of the Gaussian distributions in the mixture are deduced from the dimensions of your input data X. For example, using 2D data, each point has 2 dimensions and the Gaussians in the mixture will have 2 dimensions as well.

请先登录，再进行评论。