Enhancement in K-Mean Clustering in Big Data

Abstract

Big [1] data is a data set that is big in size. It is much complicated so traditional data processing application software is not capable to handle them. There are several challenges such as capture of data, storage of data, searching of data, & transfer of data. Some challenges are related to visualization & querying of data. Scientist has faced several challenges in e-Science such as meteorology, complicated physics simulation & environmental researches. Lot of challenges has been faced due to big data in case of biology & genomics. The problems with existing system[6] were search, sharing, storage, transfer, visualization, querying-updating. These problems can be reduced by using proposed algorithm. In this paper we have explain clustering and proposed algorithm is discussed. Keywords: Clustering, K-Mean, Data mining, Big data.