Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)

The Application Of Cluster Analysis In Ecnomics Science

Authors
Maohua Li, Zéman Zoltàn
Corresponding Author
Maohua Li
Available Online February 2017.
DOI
10.2991/icessms-16.2017.104How to use a DOI?
Keywords
Cluster analysis, Comparison, Assignment.
Abstract

In order to learn how to apply cluster analysis in economics better, this paper uses comparison method to compare two articles to talk about the difference between them. First, we select two articles about the cluster analysis, they are "using cluster analysis to segment students based on self-reported emotionally intelligent leadership" and "using cluster analysis for market segmentation-typical misconceptions, established methodological weaknesses and some recommendations for improvement". For the comparison, we compare the data selection, methodology, variables, model construction, and analyses, interpretation.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2017
ISBN
10.2991/icessms-16.2017.104
ISSN
2352-5398
DOI
10.2991/icessms-16.2017.104How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Maohua Li
AU  - Zéman Zoltàn
PY  - 2017/02
DA  - 2017/02
TI  - The Application Of Cluster Analysis In Ecnomics Science
BT  - Proceedings of the 2016 2nd International Conference on Education, Social Science, Management and Sports (ICESSMS 2016)
PB  - Atlantis Press
SP  - 499
EP  - 504
SN  - 2352-5398
UR  - https://doi.org/10.2991/icessms-16.2017.104
DO  - 10.2991/icessms-16.2017.104
ID  - Li2017/02
ER  -