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For the K-means clustering algorithm, the quality of clusters can be evaluated by IV and EV. In the following figure blue points belong to Cluster
For the K-means clustering algorithm, the quality of clusters can be evaluated by IV and EV. In the following figure blue points belong to Cluster A and red points belong to Cluster B. Answer the following questions. Your results should be in fraction format. If you results include square root 2 , you can use sqrt(2) to represent it. If you results include square root 3 , you can use sqrt(3) to represent it. If you results include square root 5 , you can use sqrt(5) to represent i Centroid of cluster A is: Centroid of cluster B is: The IV is: The EV is: For the K-means clustering algorithm, the quality of clusters can be evaluated by IV and EV. In the following figure blue points belong to Cluster A and red points belong to Cluster B. Answer the following questions. Your results should be in fraction format. If you results include square root 2 , you can use sqrt(2) to represent it. If you results include square root 3 , you can use sqrt(3) to represent it. If you results include square root 5 , you can use sqrt(5) to represent i Centroid of cluster A is: Centroid of cluster B is: The IV is: The EV is
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