GitHub

NetLogo extension for DBSCAN clustering algorithm

The extension allows you to perform unsupervised density-based clustering of turtles/agents and patches based on specified variables or by proximity. The main advantage over supervised algorithms such ...
IEEE

A Comparative Analysis of K-Means++ and DBSCAN Clustering Algorithms for Customer Segmentation Base on Behaviour in Indonesian E-Commerce

Abstract: The rapid growth of e-commerce has produced more complicated consumer behavior data. Using clustering techniques to segment customers can offer insightful information that can help create ...
GitHub

PDF Diff Viewer, a side-by-side, visual highlight, sync-scroll, PDF comparer, written in Python. Open source, mostly powered by PyMuPDF and Tkinter. Optional support for git ...

Windows binaries are provided; while no installation is needed, you need to decompress everything and then run "pdf_viewer_app.exe" within the folder "pdf_viewer_app". Make sure you have writing ...
IEEE

Optimizing Smart Gardening Systems via User Behaviour Analysis is Achieved using the DBSCAN Clustering Method, Which Outperforms the Hierarchical Clustering Algorithm in Terms ...

Abstract: Aim: This study evaluates and contrasts the performance of DBSCAN and Hierarchical clustering algorithms in identifying patterns of user interaction within IoT-assisted smart gardening ...
AZ Central

Smart Banner Hub Launches StrokeSense Academy: World’s First DBSCAN-Powered Learning Platform for Handwriting Education

BEAVERTON, OR, UNITED STATES, January 27, 2026 /EINPresswire.com/ — Smart Banner Hub LLC today announced the launch of StrokeSense Academy, a complete learning ...