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 ...

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 ...