Assume, you want to cluster 8 observations into 3 clusters using K-Means clustering algorithm. After first iteration clusters, C1, C2, C3 has 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 second iteration?

Select one:a. 10b. 5c. 25d. 5*sqrt(2)