2. Perform 2 iterations of the K-means algorithm to cluster the following points in one dimension 10, 20, 22, 25, 32, 0, 51 into 2 clusters where the initial center for the RED CLUSTER is 16 and for the BLUE CLUSTER is 30. At each iteration list the points in each cluster give the new centroids; provide the midpoint between the RED and BLUE clusters for determining which cluster a point belongs to