IEEE

DBSCAN Algorithm Clustering for Massive AIS Data Based on the Hadoop Platform

Abstract: With the rapid development of economy in central cities, Inland river traffic flow has grown rapidly, based on the vast amount of ship AIS information, there are a lot of inland river ...
GitHub

R package dbscan - Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms

This R package (Hahsler, Piekenbrock, and Doran 2019) provides a fast C++ (re)implementation of several density-based algorithms with a focus on the DBSCAN family for clustering spatial data. The ...
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 ...