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

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

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

Chance-corrected benchmark of ECG representations (raw, autoencoder, hand-crafted, foundation models) for unsupervised arrhythmia clustering on PTB-XL and MIT-BIH, with a supervised ceiling and deployment-robustness (imbalance, federation) analysis.

Implementation of Machine Learning metrics for Pharo

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.

3rd-year university project in ML/DL

Bioinformatics project

UW 2023S FDA

Projet de segmentation de clientèle - Classification non supervisée

Unsupervised segmentation of customers of an e-commerce site

Cluster analysis of shape features in famous datasets

A comprehensive data science and ML project portfolio - featuring six end-to-end projects. Showcases expertise in unsupervised clustering, supervised classification and regression, deep learning architectures, advanced feature selection, and full-stack web application deployment across healthcare, finance, bioinformatics, and real estate domains.