Asian Journal of Scientific Research1992-14542077-2076Asian Network for Scientific Information10.3923/ajsr.2008.444.450HemalathaM. VivekanandanK. 4200814In the present scenario, the concept of Distributed Processing System is more beneficial with respect to time saving, cost reduction and more clarity of clustering process. Earlier, while clustering huge amount of data it consumed lot of time, energy and cost. Now, by applying parallel and distributed approach, we can minimize the total time necessary for clustering the data thereby reducing cost. In this research, parallel and distributed version of k-means clustering algorithm is proposed. The proposed algorithm will be implemented using Matlab and will be tested with large synthetic data sets.]]>Agrawal, R. and R. Srikant,20002000pp: 439450Chen, R., K. Sivakumar and H. Kargupta,20012001pp: 7582Goldreich, O., S. Micali and A. Wigderson,19871987pp: 218229Hambaba, M.L.,19961996pp: 111111Kantarcioglu, M. et al.,20022002pp: 2431Prodromidis, A., P. Chan and S. Stolfo,20002000Yao, A.C.,19861986pp: 162167