Research project to perform feature selection in a fully unsupervised scenario

This Repository contains Solutions to Lab Assignments/slides and my personal Notes of the Machine Learning (2022) from Stanford University on Coursera taught by Andrew Ng.

Clustering project analyzing data from 167 countries from all around the world in order to determine their overall developement based on socio-economic and health criteria.

Codes des TPs de l'UV de Machine Learning de l'EINA

Qualitative and quantitative evaluation of the performance of clustering algorithms in HSI clustering

The objective of this study is to cluster the countries using socio-economic and health factors that determine the overall development of the country and to characterize each resulting cluster (and, consequently, the countries it comprises) based on the relevant values of the above factors

This repository integrates the codes for some feature selection & clustering methods.

Machine Learning using Octave/MATLAB's powerful linear algebra features

Code for the ICPR2020 Oral paper "Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning"

Code for the ICPR2020 Oral paper "Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning"

A MATLAB program that uses k-means clustering to find and classify user types as an extension of a shape recognition research study. Originally developed at Occidental College from October-December 2019.

MWSegEval is an image analysis toolbox that employs methods to automatically segment medical microwave breast images into regions of interest corresponding to various tissue types. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711021000674

Solutions to most popular course in machine learning on coursera platform.

Machine Learning Course offered by Stanford University and Coursera. Taught By Andrew Ng.

Mutual information least-dependent component analysis