Synthetic Data Generation SDG by Gaussian Mixture Model GMM)

Version 1.0.2 (2.48 KB) by S. Muhammad Hossein Mousavi
Synthetic Data Generation (SDG) by Gaussian Mixture Model (GMM) Distribution
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Updated 21 Jul 2023
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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 SDGGMM

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 .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
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Version Published Release Notes
1.0.2

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1.0.1

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1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.