APPLICATION OF MACHINE LEARNING IN OPTIMIZING SOCIO-ECONOMIC PLANNING

Effective use of land is a very crucial parameter in laying foundation of development process of a state or a country. Government Agencies want effective use of land to ensure rapid growth. State Government conducts surveys on Land Utilization Patterns of each district every year. The important attributes of Land Utilization are total geographic area, forest area, miscellaneous trees and grooves, permanent pastures, cultivable waste, land put to non Agricultural use, barren and uncultivable land, current fallows, other fallows, net area sown, total irrigated land etc. Based on these attributes the different districts can be clustered in to desire number of clusters. Again determining districts having closer values of the given demographic attributes with each district is also important. Clustering of districts can be done precisely by K-means clustering approach and K-Nearest Neighborhood approach can be implemented to find districts having very closer data.