Consider the data in the following table:

data point number	1	2	3
1	-7.82	-4.58	-3.97
2	-6.68	3.26	2.71
3	4.36	-2.19	2.09
4	6.72	0.88	2.80
5	-8.64	3.06	3.5
6	-6.87	0.57	-5.45
7	4.47	-2.62	5.76
8	6.73	-2.01	4.18

Assume the points have been drawn from two clusters (k = 2). Begin with the means of the clusters as follows:

m1= 111 and m2= -11-1

Perform one iteration of k-means clustering using Euclidean distance as the similarity metric. At the end of this iteration, report the following information:

1. The data point numbers in cluster 1

2. The new mean value for cluster 1

3. The data point numbers in cluster 2

4. The new mean value for cluster 2