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.
This project aims to profile e-commerce customers based on transaction activity or how frequently they shop and the amount spent using RFM-T
Clustering using the K-Means algorithm and Calinski-Harabazs index, following KDD process.
Unsupervised machine learning
Projet de segmentation de clientèle - Classification non supervisée
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.
Mining Mastodon for silent users
Analyzing and Exploring Ebay-Kleinanzeigen car sales data
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
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