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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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what is un ordered and ordered file managment?
explain thee diffrent types of data models
Foreign Keys and NULL Let us take the relation: DEPT DEPT ID DNAME BUDGET D1 M
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