Comparative Study on Hierarchical and Density based Methods of Clustering using Data Analysis

Data Mining is extraction of useful patterns using different techniques. Clustering is one such technique. In clustering, we extract all clusters from the data to find some useful information. Hierarchical clustering and density-based clustering are two such methodologies to find clusters. Hierarchical gives its results in a dendrogram using hierarchical clustering algorithm. DBSCAN is a density-based algorithm which helps find arbitrary shaped clusters. A more efficient implementation of these algorithms has been detailed in this paper.