Abstract
In today’s modern times food and lifestyle has become integral part of human system. People today aspire for good day at work and sumptuous and delicious food to eat at the end of the day. Hospitality sector has come up in a big way and in this business serving good food with great ambience has become mandatory to attract customers. So, in this paper we try to collect data from a restaurant in Bangalore and evaluate its popularity based on ratings given by customers. In this paper we use K- Means clustering techniques to cluster the popular restaurants. This analysis would help people to choose restaurants for better food and ambience
Keywords: Food, Clustering, Data Science, Hospitality, K-Means
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