On the other hand, it has faced criticism for the immense energy consumption tied to its mining processes.  Bitcoin, the most prominent cryptocurrency, has particularly drawn attention because its ...

Abstract: Federated Learning (FL) has emerged as a promising framework to address data privacy concerns associated with mobile devices, in contrast to conventional Machine Learning (ML). However, ...

This project demonstrates the K-Means clustering algorithm using synthetically generated data. It explores the application of K-Means on random datasets with multiple centers, visualizing cluster ...

This project applies hierarchical clustering to group car models by attributes like horsepower, price, and fuel efficiency. It involves data preprocessing, cluster analysis, and visualization to ...

Abstract: In many real-life applications, the existing data cannot be stored in a computer’s random access memory, requiring learning algorithms to process the data as streams. In some cases, limited ...