Please solve this?

Create clusters for the following dataset using K-means (i.e., use centroid instead of medoid). Use K-3 and 3 iterations for your calculation: In your answer, in each iteration, provide the updated centers, the distances from all the points to all the different centers, and the assignments of points to different centers. Instances Features 2 4 5 6 7 (3,4) (5,7) 3.5,5) (4.5,5) (3.5,4.5)