In incremental approach, the DBSCAN algorithm is applied to a dynamic database where the data may be frequently updated. After insertions or deletions to the dynamic database, the clustering ...

The demo program clusters the data into groups, and the result is: Setting epsilon = 1.5000 Setting minPoints = 2 Clustering with DBSCAN Done Clustering results: 0 0 0 -1 -1 -1 1 1 1 1 Number clusters ...