In this project, maximum likelihood estimation (MLE) and expectation maximization algorithms (EM) are applied to a dataset. Before the classification algorithms, principle component analysis (PCA) and multiple discriminant analysis (MDA) are applied to the dataset.
License: GNU General Public License v3.0
MATLAB 100.00%
ml-and-em-classification's Introduction
## About The Project
This project utilizes the maximum likelihood estimation (MLE) and expectation maximization (EM) algorithms to analyze a given dataset. Prior to implementing these classification techniques, the dataset is preprocessed using principle component analysis (PCA) and multiple discriminant analysis (MDA) methods.
### How to run
In order to run this project, you need to have MATLAB installed in your computer. Open 'main.m', and click on run.
## Author
Ömer Katı