Data mining is the non-trivial process of extracting information from the very large database. In recent years, data repository has a high dimensional data, which makes a complete search in most of the data mining problems leads computationally infeasible. To eradicate this problem clustering plays a vital role in handling low dimensional data and high dimensional data. Low dimensional data makes a task very simple and easy to cluster. High dimensional data is a crucial fact to cluster and it

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... s to resolve using hubness phenomenon. Here hubness refers a data point which may frequently occurr among the groups. The existing system has to determine and manage the hyperspheric clusters. To overcome this problem, the proposed system is to use hub based clustering technique to improve the quality of cluster in terms of effectiveness and accuracy, and to avoid only detecting hyper-spherical cluster.