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Clustering Technique For Analyzing Garment Sizing Systems

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dc.contributor.author Samir, Nariman
dc.contributor.author Supervisor - Mohamed Elhafiz Mustafa
dc.date.accessioned 2014-11-23T11:19:36Z
dc.date.available 2014-11-23T11:19:36Z
dc.date.issued 2014-09-22
dc.identifier.citation Samir, Nariman. Clustering Technique For Analyzing Garment Sizing Systems/ Nariman Samir؛ Mohamed Elhafiz Mustafa.-Khartoum : sudan university of science and technology,computer science,2014.-42p:ill;28cm.M.Sc. en_US
dc.identifier.uri http://repository.sustech.edu/handle/123456789/8187
dc.description CD en_US
dc.description.abstract In garment production engineering, sizing system plays an important role for manufacturing of clothing. The standards for defining the size status are a critical issue. Locating the right garment size for a customer depends on the label as an interface. The intend in of this research is to use data mining technique (clustering) to access the suitability of the standard sizing system to Sudanese (men shirt & men trousers). The data set used in the research was collected for the men’s age ranges between 25 and 66 years. This research is comparing international standard sizing system (XS, S, M, L, XL, 2XL, 3XL), with our data set. There are 3 experiments have been performed to find the distribution of Sudanese (male) sizes. The results show that: The size 3XL does almost not exist among the data and the majority of Sudanese are in the S sizes (36% for shirt) and L sizes (43% for trouser). en_US
dc.description.sponsorship Sudan University of Science and Technology en_US
dc.language.iso en_US en_US
dc.publisher Sudan University of Science and Technology en_US
dc.subject Garment Sizing Systems en_US
dc.subject Clustering Technique en_US
dc.subject data mining en_US
dc.subject clustering en_US
dc.title Clustering Technique For Analyzing Garment Sizing Systems en_US
dc.title.alternative تقنيات العنقدة لتحليل أنظمة قياسات الملابس en_US
dc.type Thesis en_US


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