International Journal of Recent Technology and Engineering (IJRTE)
Due to the increase in the quantity of data across the world, it turns out to be very complex task for analyzing those data. Categorize those data into remarkable collection is one of the common forms of understanding and learning. This leads to the requirement for better data mining technique. These facilities are provided by a standard data mining technique called clustering. The key intention of this technique is to categorize a dataset into a set of clusters that contains similar data items, as computed by some distance function. One of the widely used clustering techniques is K-Means clustering.