a. Suppose your class of Business Analytics got the following results in Spring 2020 (one record for each student):

Student Id	Communication Skills	Punctuality	Class Participation	Final
1	5	4	4	4
2	3	2	2	2
3	4	3	1	6
4	5	4	3	8
5	6	7	5	2
6	7	5	6	9
7	2	3	8	2
8	1	2	9	8

Using k-means clustering, divide the data into two groups. Show your calculations up to two iterations. What analysis do you make after performing this descriptive data mining step? Discuss the basic characteristics of each of these two groups of students (10 marks)

b. Consider the following data: (10 marks)

Id	Gender	Age Group	Profession
1	1	1	1
2	0	0	1
3	1	1	0
4	1	1	1
5	1	1	1
6	0	0	1

Here, few observations have a 0 entry for a categorical variable. Which similarity measure would you use for comparing observations? Find the similarity measure between each observation based on the measure you selected?