Abstract
Analyzing Geo-locational data provides a powerful source of information about places and regional human behavior. In the fast-moving, effort-intense environment that the average person inhabits, an amenity rich place which ease their uses. Most of the time in order to know about a location, different amenities are explored and calculates whether it is in our budget or not. So with data visualization and clustering In this article, amenity rich places near to the given location are figure out and within the given radius by considering different parameters which are near to the location like restaurants, cafes and parks as a whole .This project involves the use of Agglomerative Hierarchical Clustering to group population, and to group geo-locational data ,that are applied on the geo-locational data obtained from Foursquare API (Application programming Interface)URL( Uniform Resource Locator) to find the best accommodation for a person in a location of latitude and longitude by classifying accommodation for the people on the basis of their preferences on amenities, budget and proximity to the location. Our aim is to find the places which are rich, average and poor in amenities and representing them on map.
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