A Survey on Clustering Techniques in Data Mining

Data mining refers to the process of extracting information from a large amount of data and transforming it into an understandable form. Clustering is one of the most important methodology in the field of data mining. It is an unsupervised machine learning technique. Clustering means grouping a set of objects so that similar objects present in the same group and dissimilar objects present in different groups. This paper provides a broad survey on various clustering techniques and also analyzes the advantages and shortcomings of each technique.