Abstract: A new density-based clustering algorithm, RNN-DBSCAN, is presented which uses reverse nearest neighbor counts as an estimate of observation density. Clustering is performed using a ...

This repository provides a methodology to identify multi-hazard footprints by combining climate thresholds, DBSCAN clustering, and spatiotemporal overlap analysis. The workflow consists of three steps ...

The first Trump administration defended cluster munitions as “legitimate,” but on Monday, Adm. Brad Cooper condemned them as “inherently indiscriminate.” By John Ismay Reporting from Washington In a ...

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, ...

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.

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...

The Python Software Foundation warned users this week that threat actors are trying to steal their credentials in phishing attacks using a fake Python Package Index (PyPI) website. PyPI is a ...

Abstract: This document serves as a live template for scholarly research on the topic “Chess Openings Characterization through DBSCAN Clustering and Predictive Modeling.” In this study we implemented ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...