| Issue |
MATEC Web Conf.
Volume 106, 2017
International Science Conference SPbWOSCE-2016 “SMART City”
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 8 | |
| Section | 1 Architectura and Urban Planning | |
| DOI | https://doi.org/10.1051/matecconf/201710601013 | |
| Published online | 23 May 2017 | |
Kohonen cards for clustering fund of the residential real-estate
1 Northern (Arctic) Federal University, Severnaya Dvina Emb. 17, Arkhangelsk, 163002, Russia
2 Peter the Great Saint-Petersburg Polytechnical University, Polytechnicheskaya str., 29, St.Petersburg, 19525, Russia
3 Moscow State University of Civil Engineering, Yaroslavskoe shosse, 26, Moscow, 129337, Russia
* Corresponding author: talesim@mail.ru
The algorithm of a clustering of fund of the residential real-estate is based on a neural network simulation using T. Kokhonnen’s maps. Self-organizing maps (SOM) divide 296 objects into 16 clusters based on 33 signs. An important result of the research is the possibility of structural analysis of housing stock which allows to form an idea of his general condition. During periodic inspection and analysis of the condition of housing stock relocation of an object in other cluster will specify the changed technical condition. The quantitative composition of similar clusters will allow to determine the necessary volume of investment of these activities.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.