K-means Clustering and Random Forest Analysis of Factors Influencing Group Classification by Job Preference

2021 ◽  
Vol 59 (8) ◽  
pp. 113-144
Author(s):  
Jinsu Choi ◽  
Hyewon Chung
Author(s):  
A.E. Semenov

The method of pedestrian navigation in the cities illustrated by the example of Saint-Petersburg was investigated. The factors influencing people when they choose a route for their walk were determined. Based on acquired factors corresponding data was collected and used to develop model determining attractiveness of a street in the city using Random Forest algorithm. The results obtained shows that routes provided by the method are 14% more attractive and just 6% longer compared with the shortest ones.


2021 ◽  
Vol 292 ◽  
pp. 123467
Author(s):  
You Zhan ◽  
Joshua Qiang Li ◽  
Cheng Liu ◽  
Kelvin C.P. Wang ◽  
Dominique M. Pittenger ◽  
...  

2013 ◽  
Vol 23 (suppl_1) ◽  
Author(s):  
N Kanerva ◽  
M Erkkola ◽  
J Nevalainen ◽  
S Männistö

2020 ◽  
Vol 108 ◽  
pp. 106001 ◽  
Author(s):  
Ka-Lung Lam ◽  
Wai-Yin Cheng ◽  
Yuting Su ◽  
Xiaojie Li ◽  
Xiyang Wu ◽  
...  

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