MATEC Web Conf.
Volume 106, 2017International Science Conference SPbWOSCE-2016 “SMART City”
|Number of page(s)||8|
|Section||1 Architectura and Urban Planning|
|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: firstname.lastname@example.org
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.
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