This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN

Breast cancer classification and evaluation of classifiers

Here is a small collection of how to use MATLAB to solve Machine Learning challenges

A real-time music genre classification system that combines classical machine learning techniques with a CNN trained on mel-spectrograms. The hybrid model utilizes DSP-based feature extraction and ensemble learning to achieve high accuracy and low latency for practical audio applications.

Face recognition using various classifiers

Third assignment of Machine Learning I, regarding the impelementation of a k-nearest neighbor in Matlab

Heart-Disease dataset analysis using Matlab and the Orange framework.

Face Recognition using PCA Algorithm

MATLAB Project

This repository consists of the Machine Learning for Robotics laboratory activities: a Naive Bayes classifier, linear regression, kNN classifier and Neural Networks, namely.

In this work, an automatic and reproducible methodology is proposed using computer vision techniques for sorting oranges by size and defects. Master thesis written in Spanish.

K Nearest Neighbour

LSVT classification algorithm

Examples practiced in class at University Federal of Ceará.

Source files for publication titled 'Machine learning based KNN classifier: towards robust, efficient DTMF tone detection for a Noisy environment'