A Study on Clustering High Dimensional Data Using Hubness Phenomenon
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2
Abstract
Abstract: 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 has 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.
Authors and Affiliations
V. Suganthi , S. Tamilarasi
Keywords
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- DOI 10.9790/0661-16282230
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