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Compare three clustering algorithms in Weka.
For this comparison, you will need to use at least two different datasets.
Run the algorithms on the datasets, and use the visualization tools.
1. Description of the algorithms used.
2. Discussion of the clustering approaches, and the information that you might gain from doing this clustering.
3. Summary of the results.
4. Comparison between the algorithms used, in terms of what you think is interesting
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Evaluate, compare and contrast the two methods of relational database design namely top down method and Bottom up method. What will be your choice if you are asked to select a meth
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