Data mining is a process that turns large volumes of raw data into actionable intelligence, and it's used by a wide variety ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

DJ Moore finally found the end zone in Chicago’s Week 3 victory over the Dallas Cowboys. However, the veteran wideout has failed to live up to his preseason lofty expectations. Heading into the final ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...

Join Post Sports+ for exciting subscriber-only features, including real-time texting with Madeline Kenney about all things Liberty and WNBA. The Liberty’s bid to repeat as WNBA champions is nearing ...

1 Department of Medical Administration, The First People’s Hospital of Neijiang, Neijiang, China 2 School of Public Health, Chongqing Medical University, Chongqing, China Objective: This study aims to ...

This study presents an approach to assess the prosperity of countries by integrating the K-means clustering algorithm with the ELECTRE III multi-criteria ranking method. Using data from the Prosperity ...

examples_distance.dat is one of the supplementary files in "Clustering by fast search and find of density peaks "sample.txt is an example dataset with 4000 instances ...