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dc.contributor.authorXiao, Ran
dc.date.accessioned2021-03-24T16:12:00Z
dc.date.available2021-03-24T16:12:00Z
dc.date.issued2020-10-15
dc.identifier.issn1590-5896
dc.identifier.others00004-020-00530-z
dc.identifier.other530
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/319151
dc.descriptionFunder: University of Cambridge
dc.description.abstractAbstract: Clustering is widely used as a knowledge discovery method in scientific studies but is not often used in architectural research. This paper applies clustering to a dataset of 129 residential layouts, which were collected from contemporary architectural practices, to reveal underlying design patterns. To achieve this, this paper introduces a novel measure for the topological properties of layouts: ‘grating difference measure’. It was benchmarked against an alternative that measures geometrical properties and the advantages are explained. The grating difference measure indicates the extent of design differences, which is used in the clustering method to obtain the distance between datapoints. The results from clustering were grouped into design schematics and qualitatively assessed, showing a convincing separation of characteristics. The method demonstrated in this paper may be used to reveal topological patterns in datasets of existing designs for both academic and practical purposes.
dc.languageen
dc.publisherSpringer International Publishing
dc.subjectResearch
dc.subjectGrating representation
dc.subjectTopology
dc.subjectMappings
dc.subjectDesign analysis
dc.subjectResidential architecture
dc.subjectAlgorithms
dc.titleComparing and Clustering Residential Layouts Using a Novel Measure of Grating Difference
dc.typeArticle
dc.date.updated2021-03-24T16:11:59Z
prism.endingPage208
prism.issueIdentifier1
prism.publicationNameNexus Network Journal
prism.startingPage187
prism.volume23
dc.identifier.doi10.17863/CAM.66270
dcterms.dateAccepted2020-09-29
rioxxterms.versionofrecord10.1007/s00004-020-00530-z
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidXiao, Ran [0000-0001-5741-0463]
dc.identifier.eissn1522-4600


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