Bird Eye Review: Distributed Approach for Advancement of K Means Clustering Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 6
Abstract
Clustering is the process of assigning similar objects in to one group, this group termed as clusters. To assign a similar data object in to one cluster, a well known K means clustering technique is used. In this paper we have review the various research papers to know the existing work done in the field of K means clustering data mining algorithm. We analyse that the performance of existing K means clustering algorithm for large data set is very inefficient. So to improve the performance of K means clustering algorithm, parallelization of K means clustering using multi core computation is the new area of interest for our research work.
Authors and Affiliations
Nishu Agrawal, S R Tandan
Keywords
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