jit.6.4.13848 A Consolidate Review of the recent challenges in Clustering Uniform Effect Nagul Shaik R. Kiran Kumar Journal on Information Technology 2277-5250 6 4 30 37 10.26634/jit.6.4.13848 Clustering, Class Imbalance, Uniform Effect, Learning Strategies The applications of data mining in the recent decade are increased exponentially. The devices through which data is collected and analyzed are different from the previous data collected. One of the data emerged in the recent years for knowledge discovery is class imbalance data. Class imbalance data can be defined as the data with extreme imbalance in the ratio of the class instances. In this paper, the authors have presented different scenarios of clustering algorithms for tackling such type of data; especially k-means algorithm towards class imbalance data. The survey provided a shortcoming of the k-means algorithm towards class imbalance data known as 'uniform effect'. The different causes and reasons for such behavior are analyzed with different benchmark imbalance data with different evaluation criterias. September - November 2017 Copyright © 2017 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=13848