At the end of the first iteration, the K-means clustering algorithm has clustered the given 8 observations into the following 3 clusters:
C1 = {(4, 4), (5, 5), (9, 9)}
C2 = {(0, 5), (5, 0), (3, 0)}
C3 = {(8, 8), (7, 7)}
(a) In the second iteration, what will be the $L_1$ distance for observation (8, 8) from the centroid of the cluster C1?
(Note: The $L_1$ distance between two points $(x_1, y_1)$ and $(x_2, y_2)$ is defined as
$d = |x_2 - x_1| + |y_2 - y_1|)$