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Questions - gaussian-mixture-model

Parametric estimation of a Gaussian Mixture Model

I am trying to train a model to estimate a GMM. However, the means of the GMM are calculated each time based on a mean_placement parameter. I am following the solution provided here, I'll copy and pas...
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Saam

python

pytorch

autograd

gaussian-mixture-model

Votes: 0

Answers: 1

Latest Answer

According to your instructions I have re-written your model. If you run it you can see that all the parameters are changing after the model is optimized. I also have provided the graph of the model a...
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D. ACAR

Is there a way to sample from a value range in a GuassianMixture Model in python

I am using the sklearn GaussianMixture library. I got my GMM which is working fine, now I would like to sample from it. According to the docs I can use the model.sample(n) function to get n samples. T...
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Stefan 44

python

scikit-learn

sampling

probability-density

gaussian-mixture-model

Votes: 0

Answers: 0

how to create a mixture of gaussian distributions from data points generated using normal distribution

I'm trying to create a mixture of gaussian distributions in 2D, 5D and 10D from data points that follow normal distribution. Till now i was able to create data points that follow normal distribution u...
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user3046211

python-3.x

numpy

matrix

gaussian-mixture-model

Votes: 0

Answers: 1

Latest Answer

It depends on whether you wanna to create random variable where of individual distributions are independent or there is some covariation between distributions. If there is presence of covariation matr...
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Peter Trcka

How to implement gaussian mixture models to classify each image pixel as one of the ROYGBIV colors?

Goal: implement gaussian mixture models (GMMs) to classify each image pixel as one of the ROYGBIV colors by replicating the steps described in this project: https://github.com/srane96/Underwater-Buoy-...
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bananaf

python

tensorflow

image-segmentation

gaussian-mixture-model

Votes: 0

Answers: 0

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