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Improving the Cluster Efficiency on Sea Level Rise Dataset using Data Discretization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 102 - Number 13 |
| Year of Publication: 2014 |
| Authors: Sharon Dominick, T. Abdul Razak |
10.5120/17875-8856
|
Sharon Dominick, T. Abdul Razak . Improving the Cluster Efficiency on Sea Level Rise Dataset using Data Discretization. International Journal of Computer Applications. 102, 13 ( September 2014), 15-18. DOI=10.5120/17875-8856
Abstract
Rising sea levels, an effect of global warming, is a cause of concern and it is likely to affect the developing countries. With respect to the data set published for research at the World Bank, clustering a data mining technique is applied to detect the most likely to be affected regions. When tested with the k-Means clustering technique, the result of the clustering process reveals a lot of imperfections; this research analyzes the use of data discretization to improve the quality of the clustering process.
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