This repository hosts fast parallel DBSCAN clustering code for low dimensional Euclidean space. The code automatically uses the available threads on a parallel shared-memory machine to speedup DBSCAN ...

This project implements a machine learning model to predict breast cancer diagnosis. Utilizing techniques such as data preprocessing, feature selection, and various algorithms, the model aims to ...

To achieve this goal, we propose an anomaly detection method that combines the DBSCAN clustering algorithm with the 3-sigma principle to identify and handle abnormal packets that may occur during ...

This article explores the top 10 ML algorithms essential for quality assurance, from Decision Trees for defect prediction to ...

Called Torque Clustering, this method could pave the way for truly autonomous AI. Unlike traditional methods that rely on painstakingly labeled datasets, Torque Clustering operates autonomously — a ...

Striatal dopamine (DA) release regulates reward-related learning and behavioural activation and is believed to consist of a short-lived phasic and continuous tonic component. Here, we build a ...

ATLANTA (AP) — Natasha Nelson, a 35-year old entrepreneur in Stone Mountain, Georgia, didn’t have an innate sense of social norms. She didn’t know why people meeting for the first time would ...