Project on hyperspectral-image clustering for the Μ402 - Clustering Algorithms course, NKUA, Fall 2022.

A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions

Color image segmentation of the Berkeley 300 segmentation dataset using K-Means and Fuzzy C-Means. Normalized Probabilistic Rand Index for quantitative analysis.

Implementation of Machine Learning metrics for Pharo

Unsupervised segmentation of customers of an e-commerce site

Cluster analysis of shape features in famous datasets

Projet de segmentation de clientèle - Classification non supervisée

UW / FDA

3rd-year university project in ML/DL

Analysis of the Salinas hyperspectral image dataset using advanced clustering algorithms, focusing on identifying homogeneous regions in the image. Implementations of cost-function optimization and hierarchical clustering techniques, along with evaluations and visualizations in reduced-dimensional spaces.