I am trying to use the Gaussian mixture model to cluster my data in octave. As a start, I am trying to fit the data to a Gaussian distribution using the fitgmdist function in octave. However, I am getting the following error:
> (error: matrix cannot…
I am reading this paper by Mark Gales and Steve Young on speech recognition using HMM-GMM. In page 205, second paragraph, it is written:
"For each utterance Y(r) , r = 1, . . . , R, of length T(r) the sequence of baseforms, the HMMs that correspond…
In Topic Modeling can I use Logistic Normal distribution as a prior distribution and instead of a Gaussian distribution replace it with the Gaussian mixture component?
I'm trying to improve my classification results by doing clustering and use the clustered data as another feature (or use it alone instead of all other features - not sure yet).
So let's say that I'm using unsupervised algorithm - GMM:
gmm =…
I have a very basic question regarding these two functions in R.
When I try to do panel data analysis using generalised moment method, I realised that both gmm and pgmm are functions for this method. What is the difference between them? Should I use…
Is there any clustering algorithm or method out there that you can set the minimum and maximum number of data points any cluster should have? Thank you!
I have a simple example of GMM model I need to estimate. I'd appreciate if ssomeone can haelp cause I don't get my answer from GMM R document. assume I have a function g(teta,a,b)=0 and I need to estimate teta. g = (a-b)/2 - teta^2 * a + b^2 * teta…
I need to implement the EM algorithm for fitting a GMM on image data (pixels). The data was provided as a .mat file. The data is similar to the MNIST dataset. So it's a matrix of images with the shape 784 x 1990. There are 1990 images, and each…
I am working on a network that uses a LSTM along with MDNs to predict some distributions. The loss function I use for these MDNs involve trying to fit my target data to the predicted distributions. I am trying to compute the log-sum-exp for the…
I'm trying to cluster my data using Gaussian Mixture Model in sparklyr:
ml_gaussian_mixture(formula= ~ var1 + var2 + var3 + var4 + var5, k = 5)
However, calling this function doesn't return a metric to evaluate the number of clusters as ml_kmeans()…
I want to perform soft clustering on text data and so I am using the Gaussian Mixture Model so that every text can belong to multiple clusters.
I converted the text into columns using tfidf and then performed LSA for dimensionality reduction.
I…
I understand that GMM is not a classifier itself, but I am trying to follow the instructions of some users in this stack exchange post below to create a GMM-inspired classifier.
lejlot: Multiclass classification using Gaussian Mixture Models with…
I want to simply draw the density on top of my histogram plot, using the means, and variance estimated using a GMM. I've been trying to do it, but I've been unable to draw the densities. The y-axis are always different.
This would be a toy…
I trained GMM model using 2 classes. And I also tested some sample data from trained GMM model. Finally, I want to get a probability for each class's gmm.
I used sklearn GaussianMixture function named predict_proba. But it shows in array. How can I…
I have started working with GMM in Sklearn library.
I have 1 D data like below
np.random.seed(2)
x = np.concatenate([np.random.normal(0, 2, 2000),
np.random.normal(5, 5, 2000),
np.random.normal(3, 0.5,…