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 ...
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 ...
GitHub

CCParser - Powerful Credit Card Parsing & Validation Library

CCParser is a robust and efficient Python library designed for seamless credit card parsing, validation, and formatting. It can extract card details from clean, delimited strings and messy real-world ...