• M.Divyasri
• K.Prasanna
• M.Edwin Jayasingh

Conventional information grouping calculations are having traps while finding effective bunches. As the information base size builds powerfully and the sensational changes in the utilization of information, will shows sufficient outcomes on grouping execution. A brought together structure is exhibited for enormous information bunching utilizing a Heuristic information serious registering (HDIC) and Self-Organizing Maps (SOM). It is actualized on a N-hub HDIC groups, driven by a wide scope of informational indexes made utilizing IBM engineered information generator and ongoing informational collections taken from UCI. A structure for the grouping of enormous information utilizing Heuristic Data Intensive figuring and Self-Organizing Maps calculation has been proposed.

Self-Organizing Maps, Clustering, Big Data

"BIG DATA CLUSTERING USING HEURISTIC DATA INTENSIVE COMPUTING AND SELF-ORGANIZING MAP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 3, page no.296-304, March-2017, Available :http://www.jetir.org/papers/JETIR1703058.pdf

"BIG DATA CLUSTERING USING HEURISTIC DATA INTENSIVE COMPUTING AND SELF-ORGANIZING MAP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 3, page no. pp296-304, March-2017, Available at : http://www.jetir.org/papers/JETIR1703058.pdf