International Journal of Engineering and Technology

Data mining is a process of extracting desired and useful information from the pool of data. Clustering in data mining is the grouping of data points with some common similarity. Clustering is an important aspect of data mining. It simply clusters the data sets into given no. of clusters. Various no. of methods have been used for the data clustering among which K- means is the most widely used clustering algorithm. In this paper we have briefed in the form of a review work done by different researchers using K-means clustering algorithm. We have also analysed different distance metrics used by them for distance evaluation.