Big data is a new trend and big data analytics is gaining more importance among the data analyzers. Many researches are going around applying different algorithm to extract useful information from a large data set. The processing of big data can be handled through parallelizing the work. For this Hadoop has come with a new software programming model called as MapReduce. Only few data mining algorithms are successfully implemented in MapReduce fashion and are applied to massive dataset. In this paper, different clustering algorithms which can be applied for big data using MapReduce are discussed.