How to represent image feature in term of GMM model

Respuestas (1)

Abhipsa
Abhipsa el 20 de Feb. de 2025
You can use “fitgmdist” function in MATLAB to represent your extracted features using GMM.
Here is a working example of the same.
% Normalize the feature data
features = zscore(features);
% Define a small regularization value (optional)
regValue = 0.01;
% You can set options for the fitting process
options = statset('MaxIter', 1000, 'Display', 'final');
% Then, fit the Gaussian Mixture Model
gmm = fitgmdist(features, n_components, ...
'RegularizationValue', regValue, ...
'CovarianceType', 'diagonal', ...
'Start', 'plus', ...
'Options', options);
% Display the GMM parameters
disp(gmm);
For more details about “fitgmdist” you can use the MATLAB command
doc fitgmdist
I hope this helps!

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Preguntada:

el 4 de En. de 2019

Respondida:

el 20 de Feb. de 2025

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