id |
ascaad2016_006 |
authors |
Kyriakidis, Periklis |
year |
2016 |
title |
Algorithmic Clustering of Spatial Entities - Clustering of 64 single rooms using the Self-Organizing Map algorithm |
source |
Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 39-44 |
summary |
Grouping spatial entities according to any kind of parameters has always been important both for practical and for theoretical purposes in architecture. For a long time, classification according to traditional reference systems was considered the only method to fulfil this purpose. However, in recent years, information technology has led to the hybridization and spread of design outputs, challenging the limits of applicability of these traditional reference systems and making it meaningless to refer to classification. This paper suggests the method of clustering spatial entities using user-defined reference systems. The method is demonstrated with a case study where 64 single rooms are clustered according to user-defined parameters with the use of the Self-Organizing Map. This method gives the power to the user to define and determine reference systems for the clustering of architectural projects according to their needs. |
series |
ASCAAD |
email |
periklis.kyriakidis@gmail.com |
full text |
file.pdf (118,289 bytes) |
references |
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last changed |
2017/05/25 13:13 |
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