Synthetic Data Generation SDG by Gaussian Mixture Model GMM)
Synthetic-Data-Generation-SDG-by-Gaussian-Mixture-Model-GMM-Distribution
%% Synthetic Data Generation (SDG) by Gaussian Mixture Model (GMM) Distribution % Developed by Seyed Muhammad Hossein Mousavi (July 2023) % The dataset is "Iris" dataset % Number of desired synthetic samples can be defined in "NoofSynthetic" % Gaussian Mixture Model (GMM) distribution is used to generate the synthetic data % K-means clustering is used to extract labels for classification task % SVM is used as the classifier
Cite As
S. Muhammad Hossein Mousavi (2024). Synthetic Data Generation SDG by Gaussian Mixture Model GMM) (https://github.com/SeyedMuhammadHosseinMousavi/Synthetic-Data-Generation-SDG-by-Gaussian-Mixture-Model-GMM-Distribution), GitHub. Retrieved .
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Acknowledgements
Inspired: Synthetic Data Generation by NMF, Synthetic Data Generation by Genetic Algorithm (GA)
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