• Shobhit Jain

Clustering of large data analysis has received much attention recently. Our research aim healthcare data analysis, Health data is any data related to health conditions, reproductive outcomes, causes of quality of life and health issue for an individual or population. A plurality of health data are collected and used when individuals interact with improve health care systems. The purpose of Health data analysis is to provide better care for patients and help achieve health equity. Health data analysis supports recording of patient data to improve healthcare system. Present a new proposed genetic approach and compare it with popular data hybrid k-means clustering approach. Different clustering comparison methods are based on optimizing of the large data and also the well known, classical group hybrid k-means clustering model. Specifically, in use hybrid k-means clustering approach, in set random values in dataset and hybrid k-means clustering approach using representatives for different numerical values based on comparisons. Previous work has established that hybrid k-means clustering produces more error in data analysis in clusters, produces suboptimal solution. Performed experiments to show that hybrid k-means clustering initialization issues that cause failures. On the other hand proposed genetic approach almost always finds partitions that accurately labeled of data, it is optimizing data analysis, improvement of clusters size, minimization error and additional iteration. Keywords: processing, massive Datasets, agglomeration Technique, modified K-Mean agglomeration, basic K-Means agglomeration, Machine Learning, unattended Learning, and PGA.

"Optimizing Big Data Analysis based on Hybrid K-Means Clustering Approach and Proposed Genetic Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.453-459, June 2019, Available :http://www.jetir.org/papers/JETIR1907J55.pdf

"Optimizing Big Data Analysis based on Hybrid K-Means Clustering Approach and Proposed Genetic Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp453-459, June 2019, Available at : http://www.jetir.org/papers/JETIR1907J55.pdf