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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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How to convert log probability into simple probability between 0 and 1 values using python

I am using Gaussian mixture model for speaker identification. I use this code to predict the speaker for each voice clip. for path in file_paths: path = path.strip() print (path) sr,audio = read(source + path) vector =…
Sandeep
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Fit mixture of Gaussians with fixed covariance in Python

I have some 2D data (GPS data) with clusters (stop locations) that I know resemble Gaussians with a characteristic standard deviation (proportional to the inherent noise of GPS samples). The figure below visualizes a sample that I expect has two…
Ulf Aslak
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predict_proba is not working for my gaussian mixture model (sklearn, python)

Running Python 3.7.3 I have made a simple GMM and fit it to some data. Using the predict_proba method, the returns are 1's and 0's, instead of probabilities for the input belonging to each gaussian. I initially tried this on a bigger data set and…
Dave
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Which algorithm and what combination of hyper-parameters will be the best to cluster this data?

I was learning about non-linear clustering algorithms and I came across this 2-D graph. I was wondering which clustering alogirthm and combination of hyper-parameters will cluster this data well. Just like a human will cluster those 5 spikes. I…
rrm_2016
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Can I fix the mean of one component of a Gaussian Mixture Model in python before fitting?

I am interested in fitting a 2-component Gaussian Mixture Model to the data shown below. However, since what I am plotting here are log-transformed counts normalized to be between 0-1, the maximum value my data will ever take is 0. When I try a…
Benjamin Doughty
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Google's WebRTC VAD algorithm (esp. "aggressiveness")

I know Google's WebRTC VAD algorithm uses a Gaussian Mixture Model (GMM), but my math knowledge is weak, so I don't really understand what that means. Is it correct to say it's a statistically-based machine learning model, and for the case of VAD,…
Tyler Peckenpaugh PhD
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How can I do a histogram with 1D gaussian mixture with sklearn?

I would like to do an histogram with mixture 1D gaussian as the picture. Thanks Meng for the picture. My histogram is this: I have a file with a lot of data (4,000,000 of numbers) in a column:…
Théré Hernandez
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How can I get a representative point of a GMM cluster?

I have clustered my data (75000, 3) using sklearn Gaussian mixture model algorithm (GMM). I have 4 clusters. Each point of my data represents a molecular structure. Now I would like to get the most representative molecular structure of each cluster…
Rachael
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How to handle memory error while fitting GaussianMixture in sklearn python?

I am trying to fit GaussianMixture using sklearn to a bunch of cat and dog pictures. I feed a numpy array of size (50,30000) where 50 number of data points(25 cats and 25 dog pictures), 30000 is the number of features after I convert each picture to…
Surjya Narayana Padhi
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Implement Gaussian Mixture Model using keras

I am trying to implement Gaussian Mixture Model using keras with tensorflow backend. Is there any guide or example on how to implement it?
Rahul
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Training Hidden Markov model with GMM, nan appears after some iterations in python

Problem During the training process of my continuous observation sequence data using HMM with GMM mixtures, the cost function reduces gradually and it becomes NaN after some iterations. Background of my data I have 2 list say St & Rt. Length of my…
Mari
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Gaussian Mixture Model with BIC or AIC on GPU

There is bic/aic criterion with GMM in scikit-learn but I want to fit my data on GPU. I found GMM implemented in CuPy(cuda numpy wrapper) but it dosen't have bic/aic criterion.(https://github.com/cupy/cupy/blob/master/examples/gmm/gmm.py) How to…
nadayan
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Convert independent sklearn GaussianMixture log probability scores to probabilities summing to 1

I have labeled 2D data. There are 4 labels in the set, and I know the correspondence of every point to its label. I'd like to, given a new arbitrary data point, find the probability that it has each of the 4 labels. It must belong to one and only…
MJoseph
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Singular Covariance Matrix in Expectation Maximization

I was trying to code up an EM algorithm in python for clustering images of different types. My understanding of the EM algorithm is as follows: Accordingly, I coded the same in python. Here's my code: import numpy as np import sys from scipy import…
Hara
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Unpickling a saved file

I saved a model using cPickle using this code below picklefile = path.split("-")[0]+".gmm" cPickle.dump(gmm,open(dest + picklefile,'w')) print '+ modeling completed for speaker:',picklefile," with data point = ",features.shape features =…
Tolu
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