IEEE

Efficient Grid and Density based EGDBSCAN Clustering Method to Identify Global Noisy Points

Abstract: Clustering methods are used in many applications like psychology, computers, biology, and so on. DBSCAN is a one of the clustering algorithm which comes under density based clustering ...
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 ...
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 ...
Columbus Dispatch

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 ...
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 ...