Abstract: K-means is one of the most simple and popular clustering algorithms, which implemented as a standard clustering method in most of machine learning researches. The goal of K-means clustering ...

Abstract: Data clustering is a fundamental machine learning task that seeks to categorize a dataset into homogeneous groups. However, real data usually contain noise, which poses significant ...

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

About This project uses K-Means Clustering, an unsupervised machine learning algorithm, to perform customer segmentation based on various attributes such as spending habits, purchasing frequency, and ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...

In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...

Bing accounts for 26.5% of all desktop searches in the U.S., according to Comscore (April 2021). With the recent prevalence of working from home, people are spending more time on their desktop ...

Time for a gut check. Cases of colorectal cancer are on the rise, surpassing breast and brain cancer as the leading cause of ...

As AI transforms learning and work, Saikat Majumdar argues ethics, inequality, and human relationships—not technical skills ...

Founders University Professor Machine Learning Department Carnegie Mellon University Visiting Scholar Digital Economy Lab Stanford University Resume / Curriculum Vitae [email protected], 412 268 ...