• Shyam Mohan J S
• P.Shanmugapriya

Cluster Analysis or Bunch examination is one the most flexible strategies in measurable science. It is especially utilized in investigating datasets of high multifaceted nature like sub-atomic science or spatial information. Huge Data, Machine Learning, Computer Vision and Computational Biology are other run of the mill fields where grouping is fundamentally engaged. Conventional calculations neglect to deal with tremendous and high dimensional information as the datasets are of high volume, high speed and diverse assortments. Viable bunching calculations give advantages to some continuous logical utilizations of huge high dimensional datasets. Greater parts of the Companies have begun chipping away at Hadoop MapReduce Algorithms for bunching information. Grouping procedures are connected on various datasets. Huge Data is prevalent for handling, putting away and overseeing tremendous volumes of information. Bunching of such gigantic and complex datasets has turned into a testing task in the zone of huge information examination. Customary grouping calculations are not adaptable for overseeing substantial datasets. For little datasets, K-Means calculation is most appropriate for discovering likenesses between elements dependent on separation measures. For colossal and complex datasets, machine insight calculations are executed on hadoop MapReduce to shape bunches. MapReduce-Machine Intelligence Clustering (MMC) are structured and actualized in Hadoop and Amazon Elastic MapReduce (EMR) for various datasets (colossal and high dimensional) to create groups with most extreme intra-bunch and least between bunch separations. The after effects of the MMC grouping calculations show critical upgrades in execution time contrasted and customary bunching calculations and it is both viable and proficient.

MapReduce-Machine Intelligence Clustering (MMC) , Hadoop.

"HANDLING BIGDATA USING MAPREDUCE CLUSTERING AND MACHINE INTELLIGENCE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.121-127, June 2019, Available :http://www.jetir.org/papers/JETIR1906I47.pdf

"HANDLING BIGDATA USING MAPREDUCE CLUSTERING AND MACHINE INTELLIGENCE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp121-127, June 2019, Available at : http://www.jetir.org/papers/JETIR1906I47.pdf