Suppose your class of Management got the following results in Spring 2020 (one record for each student) Table 3: Result of marketing students
Student Id
Communication Skills
Punctuality
Class Participation
Final
1
25
19.4
10.4
4.2
2
23
2.3
2.2
2.4
3
10.5
1.9
7.1
6.1
4
7.2
1.4
4.3
8.2
5
3.7
7.9
8.5
2.2
6
5.1
7.6
10.6
9.9
7
7.2
2.3
8.8
6.4
8
10.1
3.2
6.9
4.8
a. Using k-means clustering, divide the data into twi groups. Show your calculations up to two iterations.
b. What analysis do you make after performing this descriptive data mining step? Discuss the basic characteristics of each of these two groups of students
"a.\\\\\n\\text{k-mean}=\\dfrac{240.8}{8}=30.1\\\\\n\\text{Now, only student id 1 and 6 have higher total value(59, 33.2) than k-mean.}\\\\\n\\text{So the required two groups will be :- $\\{1,6\\}$ and $\\{2,3,4,5,7,8\\}$.}"
"b.\\\\\n\\text{Out of 8 students, only 2 students are selected as above average.}\\\\\n\\text{Remaining 6 students are not only below average, they have bad performance also. These 6 students have scored very less in Punctuality which implies they are irregular too. But student 5 have good Punctuality and Class participation.}"
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