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Data Mining

Data Mining. Cluster Analysis Output. K-Means Clustering 2-Cluster Solution. Are the assumptions of Cluster Analysis satisfied? Interpret the two clusters (even if assumptions violated). 3-Cluster Solution. Interpret the 3-cluster solution. Is it better than the 2-cluster solution?.

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Data Mining

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  1. Data Mining Cluster Analysis Output

  2. K-Means Clustering2-Cluster Solution Are the assumptions of Cluster Analysis satisfied? Interpret the two clusters (even if assumptions violated). Clustering

  3. 3-Cluster Solution Interpret the 3-cluster solution. Is it better than the 2-cluster solution? Clustering

  4. 4- Cluster solution How does the 4-cluster solution compare to the previous two? Look at the number of cases per cluster. What problem with the data does that indicate? Clustering

  5. Revised 4-cluster solution Interpret the new 4-cluster solution with outlier removed. Which of the 3 solutions (2, 3, or 4 clusters) do you consider the most meaningful? Clustering

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