J&K Salvage has been ordered to close by the Pennsylvania Department of Environmental Protection after years of violations. The scrapyard's owner, Joe Darrah, faces potential jail time for contempt of ...

Ballot (Balanced Lloyd with Optimal Transport) is a high-performance Python package for balanced clustering. It solves the problem of creating equal-sized clusters (or clusters with specific capacity ...

This project used a Kmeans after PCA model to segment retail customers to optimize marketing efforts. When the model repeatedly returned a single cluster, the model was used to prove the customers' ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

A law in effect for less than two weeks is already wreaking havoc all over the internet. The United Kingdom law—called the Online Safety Act—is purportedly about protecting children. The best I can ...

Abstract: With the rapid rise of the electric vehicle market and its increasingly significant role in power systems, the clustering analysis of high-dimensional electric vehicle charging data has ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...