Frontiers of Architectural Research >

2017 , Vol. 6 >Issue 3: 360 - 373

DOI: https://doi.org/10.1016/j.foar.2017.05.002

RESEARCH ARTICLE

Application of AI methods in the clustering of architecture interior forms

  • Maryam Banaei , 1 ,
  • Ali Ahmadi 2 ,
  • Abbas Yazdanfar 1
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  • 1. Faculty of Architecture and Environmental Design, Iran University of Science & Technology, Tehran 16846-13114, Iran
  • 2. Faculty of Computer Engineering, K.N. Toosi University, Tehran 1631714191, Iran

Received date: 04 Jan 2017

Revised date: 17 May 2017

Accepted date: 25 May 2017

Published date: 26 Sep 2017

Copyright

2017 2017 Higher Education Press Limited Company. Production and hosting by Elsevier B.V. on behalf of KeAi. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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Abstract

Form or shape is one of the main aspects of architecture design. A gap exists in scientific studies on categorizing different architecture interior forms according to design. This paper presents a methodology for categorizing interior forms of built places. The maininnovation of this study was to evaluate the architecture interior forms of real built places as a base for any analysis on form. We proposed a clustering method by selecting 343 images of living rooms from residential places according to their history and interior design style. We labeled all the images in AutoCAD software depending on form features. The labeling results showed that images had 1104 distinct form features, including sloped, vertical and horizontal linear solids, and edges. Regarding the high dimension of data, we used Graphical Clustering Toolkit software for clustering, which involved the use of correlation coefficients and internal similarity among clusters. The clustering analysis grouped all the images into 25 clusters with the highest internal and the lowest external similarities. The descriptive features of each cluster could show its formal characteristics.

Key words： Form; Interior design; Clustering; gCLUTOsoftware

Cite this article

Maryam Banaei , Ali Ahmadi , Abbas Yazdanfar . Application of AI methods in the clustering of architecture interior forms[J]. Frontiers of Architectural Research, 2017 , 6(3) : 360 -373 . DOI: 10.1016/j.foar.2017.05.002

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