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A Robust Density-Based Clustering Approach Using DBCURE –MapReduce Techniques

Journal: International Research Journal of Advanced Engineering and Science (IRJAES) (Vol.2, No. 3)

Publication Date:

Authors : ; ;

Page : 215-219

Keywords : MapReduce; DBCURE; density based clustering; parallelization algorithm.;

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Abstract

Clustering is the process of grouping similar data into clusters and dissimilar data into different clusters. Density-based clustering is a useful clustering approach such as DBSCAN and OPTICS. The increasing volume of data and varying size of data sets lead the clustering process challenging. So that we propose a parallel framework of clustering with advanced approach called MapReduce. We develop a new algorithm DBCURE which is modified from DBSCAN. Next we propose a newly developed parallel algorithm called DBCURE-MR that is DBCURE algorithm is parallelized with MapReduce framework. This proposed method finds clusters in parallel manner efficiently.

Last modified: 2017-09-02 21:41:49