Assume, you want to cluster 8 observations into 3 clusters using K-Means clustering algorithm. After the first iteration clusters C1, C2, C3 have the following observations: C1: {(2,3), (4,3), (6,6)} C2: {(0,4), (4,0)} C3: {(5,5),(7,7), (9,9)} What will be the Euclidean distance for observation (9, 9) from cluster centroid C1 in the second iteration?

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