GitHub

GaoYining1/A-Lightweight-DBSCAN-Implementation-for-Embedded-Devices-DSP28335-Demo-

This project is a lightweight implementation of the DBSCAN clustering algorithm for embedded devices, developed for the TI TMS320F28335 DSP chip. It successfully addresses the limitations of ...
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 ...
GitHub

Movie-Recommendation-using-DBSCAN-Algorithm

I built this recommendation system using DBSCAN algorithm. You can refer to the dataset using the below link. The dataset include data for the movies from Netflix ...
Scientific Research Publishing

Research on Dense Crowd Area Detection Method Based on Improved YOLOv5 and Improved DBSCAN Clustering Algorithm ()

1 Tianjin University of Technology and Education, Tianjin, China. 2 Lvliang Vocational and Technical College, Lvliang, China. In modern society, dense crowd detection technology is particularly ...