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
Clustering usuarios de cartão de crédito usando KMeans.
Selection of the best centroid based clustering version with k-medoids and k-means
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.
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