GitHub

DBSCAN with Periodic Boundary Conditions

This is a custom implementation of the DBSCAN algorithm that supports periodic boundary conditions (PBC). It extends the DBSCAN class from the sklearn.cluster module and adds functionality for ...
GitHub

Clustering-Activities-of-Daily-Living-without-Supervision-using-DBSCAN

This project was run in Python, with multiple libraries used, including Pandas, NumPy, Scikit-Learn, Matplotlib, and Seaborn. The dataset for this project, including all features and labels, is ...
IEEE

SS-DBSCAN: Semi-Supervised Density-Based Spatial Clustering of Applications With Noise for Meaningful Clustering in Diverse Density Data

Abstract: DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised clustering algorithm designed to identify clusters of various shapes and sizes in noisy datasets by ...