Abstract: The Indian government is introducing many schemes for the welfare of poor but they are not reaching them in a proper and effective way. There is an uncertainty or lack of performance analysis in implementation of schemes. Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) is one of such schemes implemented by the government of India which aims at providing employment to the poor in rural areas by assigning local works to them. Though the scheme is implemented throughout the country, there is uncertainty in analyzing its impact on rural people. So a performance evaluation system is useful for the government to analyze performance and success of scheme in villages. This paper describes a performance evaluation system on the data collected from www.nrega.gov.in web portal for the district of Visakhapatnam. Suitable statistical and data mining techniques are applied on this data to evaluate the performance of scheme for the district of Visakhapatnam.

Keywords: Clustering, Enhanced k-means, MGNREGS.