Table 4 Cluster characteristics summary.

From: Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework

Cluster no

No of instances

AVG (EE)

AVG (AIM)

AVG (ATT)

AVG (ST)

AVG (MEL)

AVG (FEL)

AVG (FF)

AVG (FFS)

AVG (SSLC)

AVG (PUC)

AVG (AC)

0

190

78.5

85.2

82.6

7.4

2

3

1

GT3

70.3

62.7

Free

1

62

45.0

36.7

30.2

1.9

1

0

3

LE3

45.5

32.8

Paid

2

310

65.7

72.8

75.6

5.2

3

4

2

LE3

63.7

59.1

Free

3

23

92.3

88.9

94.3

9.8

4

4

1

GT3

85.2

78.6

Free

4

124

57.9

62.4

66.8

4.6

2

2

4

LE3

55.9

48.7

Paid

5

47

0.0

0.0

0.0

0.0

1

1

1

LE3

0.0

0.0

Free