Improving the Cluster Efficiency on Sea Level Rise Dataset Using Data Discretization

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
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 dataset 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 paper analyzes the use of data discretization to improve the quality of the clustering process.

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