An interactive approach to understanding Machine Learning using scikit-learn

Python Program for Text Clustering using Bisecting k-means

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

Clustering using the K-Means algorithm and Calinski-Harabazs index, following KDD process.

This project aims to profile e-commerce customers based on transaction activity or how frequently they shop and the amount spent using RFM-T

Unsupervised machine learning

A comparative study of K-centroid clustering algorithms, including KMeans, CustomKMeans, Fermat-Weber KMedians, and Weiszfeld KMedians, highlighting their performance on separated and non-separated datasets.

Projet de segmentation de clientèle - Classification non supervisée

Analyzing and Exploring Ebay-Kleinanzeigen car sales data

Mining Mastodon for silent users

Customer-Segmentation---Purchasing-Behavior

Assignment for the "Machine Learning" course of the Department of Control Science and Engineering, Tongji University.

Clustering usuarios de cartão de crédito usando KMeans.

Selection of the best centroid based clustering version with k-medoids and k-means