Why Gaussian mixture model uses Expectation maximization instead of Gradient descent?

Question

Why Gaussian mixture model uses Expectation maximization instead of Gradient descent?

Aj_MLstater

2020年8月6日 19:02

What other models uses Expectation maximization to find best optimal parameters instead of using gradient descent?

Topic gmm gaussian expectation-maximization gradient-descent clustering

Category Data Science

Brian Spiering · Accepted Answer · 2020年7月6日 16:43

Not all the parameters (e.g., the assignment parameters) for a Gaussian mixture model are smoothly differentiable, thus can not be fit with gradient descent.

Other use cases for the expectation–maximization (EM) algorithm are:

Clustering
Latent variable estimation
Missing data estimation

Why Gaussian mixture model uses Expectation maximization instead of Gradient descent?

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