AN EXPERIMENTAL APPROACH OF K-MEANS ALGORITHM ON THE DATA SET

As we know that clustering is a process for discovering groups and identifying interesting patterns. Data mining refers to extracting knowledge from large database. Today retrieving information from large dataset is very typical task. That’s why we need data mining techniques for managing huge dataset. In this paper, first we discussed all the clustering techniques and then experiment on large dataset which is used for collecting books in different cities with price rates. We have implemented K-Means algorithm on the huge dataset using MATLAB and we have shown the result of the K-Means algorithm.