In statistics, a mixture model is a probabilistic model that is formed by a combination of probabilistic models. For example, the Gaussian mixture model is the weighted sum of Gaussian distributions. Mixture models are mainly used in probabilistic clustering of data and modelling of unknown distributional shapes.
Questions tagged [mixture-model]
222 questions
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Mixture modeling - troublee with infinite values from exp() and log()
I'm writing a function for Gaussian mixture models with spherical covariance structures--ie $\Sigma_k = \sigma_k^2 I$. This particular function is similar to the mclust package with identifier VII.
http://en.wikipedia.org/wiki/Mixture_model
Anyways,…
alexwhitworth
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How to get a likelihood using Mixture of Gaussian Model
To simplify my question, I create a dummy problem here: I have two sets of training data that are labelled with 1 and 2 respectively. Both training datasets assumed to follow mixture of Gaussian distribution. I can easily use Matlab toolbox function…
Samo Jerom
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N-mixture models in Python
I'm new to Python and am having trouble translating a model I wrote in R into Python language. If anyone has any suggestions on resources or code examples that might help I would greatly appreciate it. I've seen some snippets of code and text in…
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Expectation Maximization opencv-Log Likelihood value
I'm estimating the parameters of a GMM using EM,
When I use my Matlab script And run the EM code i get a single value of "log-likelihood"..
However in opencv the output of EM.train gives a matrix which contained the loglikelihood value of every…
ashwin shanker
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OpenCV: how to get GMM parameters?
I am using BackgroundSubtractorMOG2 to do background subtraction, and I've manually set the number of mixture model to be used as follows:
cv::BackgroundSubtractorMOG2 myModel;
myModel.set("nmixtures",5);
Now I want to display the actual mixture…
E_learner
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ML / density clustering on house areas. two-component or more mixtures in each dimension
I trying to self-learn ML and came across this problem. Help from more experienced people in the field would be much appreciated!
Suppose i have three vectors with areas for house compartments such as bathroom, living room and kitchen. The data…
HslashML
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Opencv: Get Expectation Maximization (EM) using Gaussian Mixture Model ( GMM)
I am trying to use GMM to find expectation maximization of different colors in a video frame. Then according to that, I will determine which is the dominant color.
For that, my problem is how can I perform GMM based EM to get and compare those…
E_learner
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GMM clustering algorithm with equal weight and shared diagonal covariance
I'm looking for a Gaussian mixture model clustering algorithm that would allow me to set equal component weights and shared diagonal covariances. I need to analyze a set of data and I don't have the time to try to write the code myself.
Piotr Sokol
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Using PyMix, saving m.em() 's final iteration to a vector or something
I'm using the pymix package to solve a mixture model.
m = mixture.MixtureModel(3,[0.1,0.8,0.1], [n1,n2,n3])
# Resolver el Mixture model
m.EM(data,100,0.1)
I cant afterwards do a
print m
and I can see the final…
JEquihua
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how to choose the number of components in gaussian mixture model? I am trying to classify the input audio samples based on the spoken language
I am trying to classify the input audio samples based on the spoken language based on MFCC features.The number of spoken languages taken into consideration is two.
What i have tried so far:
n_components ranging from 32 to 512
Result
My try was not…
mah
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Python - Statistical distribution
I'm quite new to python world. Also, I'm not a statistician. I'm in the need to implementing mathematical models developed by mathematicians in a computer science programming language. I've chosen python after some research. I'm comfortable with…
usert4jju7
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Why is a Gaussian mixture model used?
Can anyone give a realistic example of what a Gaussian mixture model(GMM) is? Why do we go for GMM and how it works?
I read some content about the same but they have explained in a mathematical way. They say it is used on heterogeneous population…
MSKantulu
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