Improving the Cluster Efficiency on Sea Level Rise Dataset using Data Discretization
Sharon Dominick, T. Abdul Razak · International Journal of Computer Applications · 2014
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.