A Novel Data Mining Technique to Enhance Performance of Dbscan Algorithm

Abstract

A novel approach is used to enhance performance of data mining technique, DBSCAN. This approach is more accurate as compared to static DBSCAN clustering algorithms since it calculates EPS value dynamically. The Euclidean distance is calculated using back propagation algorithm to create clusters.