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Questions tagged [gaussian-mixture]

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

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Determining Link for GLM

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 ...
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Probabilistic Models, what do they infer?

As per my understanding, Mixture Models such as GMM, Probabilistic Models such as Variation Autoencoder, they explain the latent space behind the features. But how they turn from learning latent space ...
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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 ...
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How is jaccard similarity used to find the similarity between Bootstrap samples when measuring stability of EM?

Im reading the answer on "how to determine number of clusters in EM algorithm". How to tell if data is "clustered" enough for clustering algorithms to produce meaningful results? One of the ...
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Biased viterbi training result

I try to use GMM-HMM model to infer the topic of sentences in a short paragraph. While instead of using normal Baum-Welch optimization, I use viterbi training as follows. I use average of word ...
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Expectation of normal RV conditional on normal mixture

Let $v\sim\text{Normal}\left(\mu,\sigma_v^2\right)$ a random variable with $\mu>0$ and $u\sim\text{Normal}\left(0,\sigma_u^2\right)$ Let $k\sim\text{Binomial}\left(N,p\right)$ a random variable ...
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Interpretation of NLP pipeline for topic discovery using gaussian mixture model clustering

I built a pipeline that does the following to discover topics out of a (very big: 50k docs per ~350 terms) Term Document Matrix: Compute the TfIdf score for each Term x Document pair; Rescale each ...
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How to forecast a time-series with a dynamic time unit?

I'm working on a forecasting problem, and I'm not sure if the data requires any transformation because the unit of time is dynamic. I'm working with an education data set where I have data on ...
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How to 'normalize' the product of two variables from Gaussian distribution?

I have two variables, x1 and x2, which are sampled from two Gaussian distributions respectively. I created an iteraction term x3 which is x1 multiply x2. Not surprisingly, x3 has very fat tail, ie., ...
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What does it means for “fit a less parsimonious model” in a clustering algorithm?

I'm now trying to implement the algorithm presented in https://www.stat.washington.edu/raftery/Research/PDF/fraley2005.pdf. The algorithm is the following one: First I get a mixture model for ...
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