International Journal for Science and Emerging Technologies with Latest Trends (IJSETT)
Data mining is the process of taking out of concealed prognostic information from a huge amount of databases. It is an influential technology which helps companies to focus on important information in their data warehouses. There are different steps in data mining process like anomaly detection, association rule learning, clustering, classification, regression and summarization. This paper is mainly concerned about clustering which is the procedure of organizing the objects in groups whose members contains some kind of similarity.