Proceedings of the 2014 International Conference on Advanced ICT (ICAICTE 2014)

House prices problem of clustering analysis of 31 provinces and cities in China now

Authors
Yao Chen
Corresponding Author
Yao Chen
Available Online August 2014.
DOI
10.2991/icaicte-14.2014.57How to use a DOI?
Keywords
Housing, Cluster analysis
Abstract

The housing problem, has been China the topic of ordinary people more attention. Can a lot of people will buy a room as the standard of success. In April 2014, according to data released China's 70 large and medium-sized cities housing prices fall month-on-month growth. Search to some relevant information through the network at the same time, consider the rationality of the indexes of the possibility of and access to information, choose a certain representative index, using the relevant statistical software for clustering analysis, and put forward corresponding to relevant policy now feasible opinions or Suggestions.

Copyright
© 2014, 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 2014 International Conference on Advanced ICT (ICAICTE 2014)
Series
Advances in Computer Science Research
Publication Date
August 2014
ISBN
978-94-62520-23-3
ISSN
2352-538X
DOI
10.2991/icaicte-14.2014.57How to use a DOI?
Copyright
© 2014, 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  - Yao Chen
PY  - 2014/08
DA  - 2014/08
TI  - House prices problem of clustering analysis of 31 provinces and cities in China now
BT  - Proceedings of the 2014 International Conference on Advanced ICT (ICAICTE 2014)
PB  - Atlantis Press
SP  - 270
EP  - 273
SN  - 2352-538X
UR  - https://doi.org/10.2991/icaicte-14.2014.57
DO  - 10.2991/icaicte-14.2014.57
ID  - Chen2014/08
ER  -