Naive Bayes Classifier Algorithm Implementation in MATLAB

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Resource Overview

This is a MATLAB-implemented naive Bayes classifier algorithm shared for community use, modification, and feedback. The implementation includes probability calculation functions and feature handling methods, with modifications based on existing work. For inquiries contact: l_y_f_2005@163.com

Detailed Documentation

This document presents a naive Bayes classifier algorithm developed using MATLAB. The implementation features key components including prior probability calculation, likelihood estimation using Gaussian distribution assumptions, and posterior probability computation for classification decisions. The algorithm supports customizable feature handling and model training through MATLAB's statistical functions. This modified version builds upon existing implementations with enhanced parameter optimization and error handling. For technical discussions or collaboration opportunities in data science and machine learning, please contact: l_y_f_2005@163.com. The code structure allows easy integration with MATLAB's machine learning toolbox and supports dataset preprocessing through built-in normalization functions.

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