A Density Based Algorithm for Discovering Density Varied Clusters in Large Spatial Databases

DBSCAN is a base algorithm for density based clustering. It can detect the clusters of different shapes and sizes from the large amount of data which contains noise and outliers. However, it is fail to handle the local density variation that exists within the cluster. In this paper, we propose a den... View More