# Questions tagged [gaussian-mixture-distribution]

A type of mixed distribution or model which assumes subpopulations follow Gaussian distributions.

555 questions
Filter by
Sorted by
Tagged with
43 views

### Gaussian mixture model parameter updates derivation?

I've been following a helpful tutorial and I'm trying to understand the parameter updates. For example, the mu_k parameter update is below. I'm unsure why the sum(Bk) does not cancel out as it's in ...
15 views

### Gaussian Mixture Model Clustering - cluster means are assigned to a different cluster

I ran a gaussian mixture model with 7 clusters on my data. My data has been PCA transformed with 200 components. Then I extracted the means of each cluster and applied the predict_proba function on ...
16 views

### Variance when sampling from a GMM? [duplicate]

I am doing some work with Gaussian mixture models and we want to find the standard deviation of samples from the model. Our current methodology is to run a Monte-Carlo sim, and just take a bunch of ...
172 views

### Mixture of normal distributions, all with the same variance and with normally distributed means

Say you have a mixture distribution with the following properties: It is made up of multiple normal distributions The variances of all those component normal distributions are all the same The means ...
30 views

274 views

### Feature importance for Gaussian Mixture Model

After GMM clustering I've got quite logical clusterization and the question is how can measure the importance of the exact feature in clustering.
37 views

I am having a great deal of difficulty understanding how to use the Generalized linear model for my data set. The response variable of interest is hatch success of sea turtles, which is a %. The ...
35 views

### What is the difference between the latent variable and the cluster weights in mixture models?

$p(x|\theta) = w_1 \mathcal{N}(x|\mu_1,\,\sigma_1^{2})\ + w_2 \mathcal{N}(x|\mu_2,\,\sigma_2^{2}) + w_3 \mathcal{N}(x|\mu_3,\,\sigma_3^{2})\,$ What is the difference between the the $w$ and the ...
224 views

290 views

### Why is gradient used in Fisher Vectors?

My understanding of Fisher vectors can be described in the following manner: A GMM is trained on all data, which gives $p(X,\theta)$, then, for each image/video ($X_i$), the gradient of $p(X,\theta)$ ...
202 views

38 views

### Test is data is derived from mixture or just noisy normal

Is there a way to quantify \ test \ describe how likely it is that high dimensional data come from a single Gaussian or a mixture of Gaussians (with different means \ SDs) or not? What I am thinking ...
179 views

### Too good results from EM for gaussian mixture

My task is to identify parameters (mean, standard deviation, height) of gaussian peaks in given histogram data with as lowest CV as possible. Number of peaks and approximate means are known (pointed ...
402 views

### How to make the most of a Gaussian mixture assumption in a model?

I have a dataset with 100 columns and approximately 100000 lines. I have a variable to predict that is Y (0,1 so it's a classification problem). I have an other categorical variable with two values ...
296 views

### Approximating a binomial distribution with a mixture normal

This is purely a theoretical question (I legitimately can't think of a real application), but if you wanted to approximate a binomial distributed variable with a two-component mixture normal, is there ...