Optimizing Geographical Clusters through R for Job Allocation in Make in India

摘要

Make in India initiative by the Govt. of India is an endeavor to enable transfer of technology and boost the production across India. It is optimally desired to employ workforce that geographically maps the industry location of a produce. The paper focus es on analyzing make in India Big Data through K-means algorithm using R-studio. Analyzing the said data set shall enable decision makers to identify the workforce and deploy the same to enhance the cost incurred by the setup. The proposed analytics shall capture, store and analyze the dataset to form region wise clusters based on the skill sets that may be possessed. This paper describes data analytics using the R-tool. The tool is used for organizing the data, giving a statistical and tabular description stating how the optimal skillset based allotment can be done. Through R-Tool the entire work force shall be grouped into clusters which are represented region wise and thus it would be financially viable to allocate skillset based job allocation in the prescribed region.