Table 13 The final clustering results of some random stations.

From: Machine learning-aided hybrid technique for dynamics of rail transit stations classification: a case study

Number

Station

IT1

IT2

IT3

IT4

OT1

OT2

OT3

OT4

1

Weijianian

2

2

2

2

2

2

2

2

2

Shengxian Lake

2

2

2

2

2

2

2

2

3

North Railway Station

3

3

3

3

3

3

3

3

4

Renmin Rd.North

3

3

3

3

3

3

3

3

5

Wenshu Monastery

1

1

1

1

1

1

1

1

6

Luomashi

3

3

3

3

3

3

1

3

7

Tianfu Square

3

3

3

3

3

3

1

3

8

Jinjiang Hotel

1

1

1

1

1

1

1

1

9

Huaxiba

1

1

1

1

1

1

1

1

10

Sichuan Gymnasium

3

3

3

3

3

3

3

3

11

Nijiaqiao

3

3

3

3

3

3

3

3

12

Tongzilin

1

1

1

1

1

1

1

2

13

South Railway Station

3

3

3

3

3

3

3

3

14

Hi-Tech Zone

2

2

2

2

2

1

1

2

15

Financial City

1

2

2

2

2

1

1

2

16

Incubation Park

3

3

3

3

3

3

3

3

17

Jincheng Plaza

2

2

2

2

2

2

2

2

18

Century City

3

3

3

3

3

3

3

3

19

3rd Tianfu Street

2

1

1

2

2

1

1

2

20

5th Tianfu Street

2

2

2

2

2

2

1

2

21

Huafu Avenue

2

2

2

2

2

2

2

2

22

Sihe

2

2

2

2

2

2

2

2

23

Huayang

2

2

2

2

2

2

2

2

24

Haichang Road

3

3

3

3

3

3

3

3

25

Guangfu

2

2

2

2

2

2

2

2

26

Hongshi Park

2

2

2

2

2

2

2

2

27

Luhu Lake

2

2

2

2

2

2

2

2

28

Wuhan Road

2

2

2

2

2

2

2

2

29

Tianfu Park

2

2

2

2

2

2

2

2

30

Western China Int’l Expo City

3

3

3

3

3

3

3

3