Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm

Yao Li

Open source

DOI
10.1177/0020720920936837
Published
2020-07-13
Container
International Journal of Electrical Engineering & Education
Publisher
SAGE Publications
Open access
unknown

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BibTeX

@article{allodium:10.1177/0020720920936837,
  title = {Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm},
  author = {Yao Li},
  year = {2020},
  journal = {International Journal of Electrical Engineering \& Education},
  doi = {10.1177/0020720920936837},
  url = {https://doi.org/10.1177/0020720920936837}
}

RIS

TY  - JOUR
TI  - Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm
AU  - Yao Li
PY  - 2020
JO  - International Journal of Electrical Engineering & Education
DO  - 10.1177/0020720920936837
UR  - https://doi.org/10.1177/0020720920936837
ER  - 

APA

Li, Y. (2020). Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm. International Journal of Electrical Engineering & Education. https://doi.org/10.1177/0020720920936837

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