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

Bioinformatics project

3rd-year university project in ML/DL

Unsupervised segmentation of customers of an e-commerce site

Projet de segmentation de clientèle - Classification non supervisée

UW / FDA

Cluster analysis of shape features in famous datasets

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.