Presentinga Hybrid Clustering Approach By UsingA Subset Of Initial Clusters
Journal Title: The International Journal of Technological Exploration and Learning - Year 2015, Vol 4, Issue 3
Abstract
Data clustering means that grouping the samples in similar sets that the samples of every group (cluster) have the maximum similarity with each other and with the other groups have a maximum distance. Many methods have been proposed for clustering the data. Most of them emphasize on particular aspects of the data, and therefore on certain groups of data have a good efficiency. In this study we will try to provide a new method for hybrid clustering that would work depending on data collection and by selecting more efficient subsets of primary clustering results improves the performance of hybrid clustering. The method presented in this study, was carried out on MATLAB and the most popular standard data collections. The results of performing this method enhance the accuracy of clustering. Two approaches have been presented in this paper which cause improvement in dispersion and also increase the accuracy of running the program.
Authors and Affiliations
Musa Mojarad| Department of Computer Engineering, Firozabad Branch, Islamic Azad University, Firozabad, Iran, Hossein Monem| Shiraz University of Medical Sciences Paramedical Sciences School Information Technology Department Shiraz, Iran, Mortaza Zolfpour Arokhlo| Department of Computer Engineering, Sepidan Branch, Islamic Azad University, Sepidan, Iran, Susan Mojarad| Department of foreign languages, Shiraz Branch, Islamic Azad University, Shiraz, Iran
Keywords
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