Naive Bayes Classifier Implementation in MATLAB

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Resource Overview

Source code for a custom-built naive Bayes classifier implemented in MATLAB, suitable for classification and recognition tasks

Detailed Documentation

This documentation presents my custom implementation of a naive Bayes classifier developed using MATLAB. The code is designed for classification and pattern recognition applications. The naive Bayes classifier operates based on Bayes' theorem and demonstrates exceptional efficiency when processing large datasets. This implementation includes key MATLAB functions for probability calculation, feature handling, and classification decision-making. The algorithm efficiently computes prior probabilities and likelihoods while assuming feature independence, making it particularly suitable for text classification tasks like spam filtering and speech recognition applications. If you have interest in naive Bayes classifiers, I hope this code proves valuable for your projects, and I welcome any constructive feedback on the implementation.

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