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Questions tagged [mixture-model]

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.

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fast gaussian mixture model in MATLAB using gpu

I want to fit Gaussian mixture model in MATLAB. Specifically, I want to fit hundreds of models from different starting points and fit them for a few EM iterations (e.g. 10). The final aim is to use genetic algorithms to search for a good…
Krrr
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simplifying the formula for EM

I want to compute below formula in Matlab (E-step of EM for Multinomial Mixture Model), g and θ are matrix , θ and λ have below constrains: but count of m is more than 1593 and when compute product of θ, number get very small and Matlab save it…
Micle
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Winbugs "Undefined Real Results"

I am using R2 Winbugs to run an open-population binomial mixture model following Kery et al 2009 (paper here) with real data on surveys. As I first try I am using only one covariate for the abundance (X1) that I made up myself. The model compiles…
YMC
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clustering vs fitting a mixture model

I have a question about using a clustering method vs fitting the same data with a distribution. Assuming that I have a dataset with 2 features (feat_A and feat_B) and let's assume that I use a clustering algorithm to divide the data in an optimal…
gabboshow
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Handling empty components in EM implementation for GMM learning

I am trying to implement learning a Gaussian Mixture Model using EM from scratch in MATLAB. The project requires some later modifications to the standard GMM model, which is why I am not using off-the-shelf implementations such as VLFeat or the…
AruniRC
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Sampling parts of a vector from gaussian mixture model

I want to sample only some elements of a vector from a sum of gaussians that is given by their means and covariance matrices. Specifically: I'm imputing data using gaussian mixture model (GMM). I'm using the following procedure and sklearn: impute…
kirill_igum
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Gaussian Mixture Model 1D data

I have modeled my 1D data (1000*1 matrix) into 3 Gaussians, using gmdistribution.fit(X,3) How can I plot something Like this? It shows the probability of a given point belonging to each class.
Rashid
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Simulation from mixture distribution in R

I would like to simulate data set which has a decreasing and then increasing hazard from 3 weibull distributions but I would like to have this hazard function more near to zerohow can I get around 0.1 or less. How can I fix my code to have this?
rose
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Computing Gaussian Mixture Model with Expectation Maximization using Mapreduce

Where I can find a Mapreduce implementation(or tutorial) for computing GMM using EM? Also is it really feasible to do it using mapreduce framework? I have found this lecture link but it does not contains detail description, also if my data(mean and…
Parag
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How to obtain unnormalized responsibilities for GMM clusters?

I have trained a Gaussian Mixture Model with sklearn and I am trying to obtain the unnormalized responsibilities of a data point given the cluster means and variances. GMM.predict_proba unfortunately returns the normalized probabilities such that…
user3446746
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error: command 'gcc' failed with exit status 1, installing pymix

I am in a terrible struggle to install pymix (Python27, Windows 7 32 bit). I downloaded the version, however, I am unable to run setup.py as per the install directions. First, my install resulted in a "unable to find vcvarsall.bat" error, which,…
Mike
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Fit a GMM to a 3D histogram in scikit-learn

The mixture model code in scikit-learn works for a list individual data points, but what if you have a histogram? That is, I have a density value for every voxel, and I want the mixture model to approximate it. Is this possible? I suppose one…
cgreen
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gaussian mixture model probability matlab

I have a data of dimension 50x100000. (100000 features, each has a dimension of 50). I would like to fit a gaussian mixture model using this data. I used the following code. obj = gmdistribution.fit(X',3); What I need is when I give…
user570593
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Parameters estimation of a bivariate mixture normal-lognormal model

I have to create a model which is a mixture of a normal and log-normal distribution. To create it, I need to estimate the 2 covariance matrixes and the mixing parameter (total =7 parameters) by maximizing the log-likelihood function. This…
user26615
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Gaussian Mixture Models implementation in Real time for Object Detection

I am working on real time video compression. I am modeling it with MATLAB. I need to later implement it on DSP processor with 5832MIPS, 729MHz. Is it feasible to implement Gaussian Mixture models on DSP processor or are there better algorithms for…
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