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Questions tagged [gmm]

For questions about Gaussian mixture models (GMMs).

For questions about Gaussian mixture models (GMMs).

199 questions
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mvnpdf() yields SIGMA mustbe a aquare, symetric, positive definite matrix

I have a matrix: sigma=[0.1085 0.1085 0.1085; 0.1085 0.1085 0.1085; 0.1085 0.1085 0.1085]; I am reciving the following errpr: SIGMA mustbe a aquare, symetric, positive definite matrix for the e line: mvnpdr(rgb_pt,mu,sigma); As best…
havakok
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invalid type (list) message in applying gmm method

The moment condition function is simply exp(-g/r)-1, where g is a known series of daily return on AAA-class bond index, and r is the rikiness measure to be derived through gmm. My codes are as follows: View(Source) library(gmm) data(Source) x <-…
LINDA HWUNG
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How to Password protect Shared Drive files using Drive API

I am developing industrial android applications that utilize the Google Drive API to both read from and write to files that are shared by the company G-Suite administrator. The applications are installed on an employees work profile and managed…
T_Dun
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Implement GMM using tensorflow

I am trying to implement Gaussian Mixture Model using Tensorflow. Is there any guide or example on how to implement it? I have tried to implement GMM from the tensorflow example here. But I think its buggy.
Rahul
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ValueError: Features are incompatible with given information. Given features: Tensor("input:0", shape=(?, 198), dtype=float32)

Hi I am trying to implement GMM using tensorflow. But I am getting the following error :- ValueError: Features are incompatible with given information. Given features: Tensor("input:0", shape=(?, 198), dtype=float32), required signatures:…
Rahul
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Do I have to explicitly free memory when using vlfeat?

I'm using VLFeat to train a Gaussian Mixture Model(GMM), and I'm not sure if I should manually free memory when the following commands are used: float *means = (float *) vl_gmm_get_means(gmm); float *covariances = (float *)…
Lotayou
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R gmm package use for prediction

I wish to try the R gmm algorithm to predict. Question #1: is it possible to use gmm to predict? (the word "predict" does not appear in the manual) Question #2: if it is possible to do prediction with gmm, how does one do it? I am looking for the…
Timothée HENRY
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Stata S-GMM command to be executed

I want to know if my command is correct : Xtabond2 Y l.Y X1 l.X1 X2 X3, gmm(l.X1, collapse eq(diff)) iv( X2 X3, eq(diff)) twostep robust small please help i try to apply SYS-GMM in Stata command & i expect to get help and advise
user395578
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Scikit-Learn GMM Module

When I use Kmeans, and I pass it a categorical parameter, it returns back a categorical after using Predict(). However, when I use GMM I get back a numerical array, how can I resolve this and make GMM return the categorical results as…
Abdullah
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How to calculate the probability that a sample belongs to a certain class from the mixture Gaussian distribution？

I would like to know, for this mixture of Gaussian distributions generated by the data we give ourselves, how do we figure out which component is more likely to belong to a new sample we are given? I learned that Matlab seems to have functions that…
Leshui
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How to set clusters centers manually in KMeans and predict probabilities instead of classes? (or GMM)

I'm following this example here: https://www.stackoverflow.com/questions/60205100/define-cluster-centers-manually He sets the initial position of the centroids and run one iteration only, so the centroids end up being the initially set ones. I was…
Al777
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Unstable accuracy of Gaussian Mixture Model classifier from sklearn

I have some data (MFCC features for speaker recognition), from two different speakers. 60 vectors of 13 features for each person (in total 120). Each of them has their label (0 and 1). I need to show the results on confusion matrix. But…
asparox
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How can I create a random variables (samples) from Gaussian mixture in python

I am trying to fit a Gaussian mixture to 3 variables dataset. I have obtained a GMM model in python using 3 Gaussian models. My questions are: How can I create a PDF from that GMM, like the function in matlab? How can I create random variables…
Zidan
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How to implement GMM Clustering EM algorighm(Expectation Maximisation algorithm) which work for N Dimension feature vector in python

I am trying to implement GMM Clustering for both 24 Dimension feature vector and 32 dimension feature vector, where assignment of initial parameters are done by Kmeans algorightm (K mean clustering is providing cluster centers - MU - only). I am…
Debashis Sahoo
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Failed to converge in 100 iterations for gmdistribution with 5 components

I'm doing clustering via GMM in MATLAB. The warning is "Failed to converge in 100 iterations for gmdistribution with 10 components" What should I do?
S.Gh
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