China Education Type, Areal Student Amount and Hierarchical Clustering
Authors:
Tang, Hengliang
Li, Jie
Dong, Chengang
Journal:
IJIRES
Volume:
5
Number:
5
Pages:
562-567
Month:
September
ISSN:
2349-5219
BibTex:
Note:
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
CC BY-NC-SA 4.0
Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/
Abstract:
This paper is to describe the school student amounts of Preschool, Primary School, Junior School, Senior School, and Higher Education in all the China province areas, and the data are obtained from China National Bureau of Statistics. Through the descriptive study, it is shown that low-developed provinces often have higher students rate in preschool, primary school, and middle school, while rich areas have more student rate in higher education. Hierarchical Clustering method is then used to segment province regions by their various school student amounts, and 5 clusters are found