Performance analysis of parallel CBAR in MapReduce environment

Clustering of data set is a very contemporary problem for handling big data and parallelizing the process of clustering helps in improving efficiency for applications which involve frequent searching. Various clustering techniques are used for grouping of data set and CBAR is one such very frequently used technique used for different applications. Parallelization of CBAR is very necessary for handling Bigdata and Hadoop MapReduce platform provides a suitable environment to improve efficiency for any problem dealing with huge volume of data by using appropriate segmentation technique. In this work, we designed and developed a few algorithms for implementing CBAR using MapReduce technique and tested the results in different clusters of up to 4 nodes. Significant improvement has been observed and analysis and explanation on these results have also been presented in our work with suitable example.