A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets

Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we briefly describe the methods and then compare them from a theoretical view. Finally, we give an empirical comparison of the algorithms.

• Type: Conference
• Year: 2005
• Where: AI
• Authors: Xin Wang, Howard J. Hamilton
• Keywords: Active Research Area, AI 2005, Artificial Intelligence, Spatial Clustering, Spatial Data Mining