[1]刘睿智,赵守香*.基于SPSS数据分析的服装号型设计[J].服装学报,2019,4(06):504-509.
 LIU Ruizhi,ZHAO Shouxiang*.Garment Size Design Based on SPSS Data Analysis[J].Journal of Clothing Research,2019,4(06):504-509.
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基于SPSS数据分析的服装号型设计()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第4卷
期数:
2019年06期
页码:
504-509
栏目:
服装信息技术
出版日期:
2019-12-31

文章信息/Info

Title:
Garment Size Design Based on SPSS Data Analysis
作者:
刘睿智;  赵守香*
北京工商大学 计算机与信息工程学院,北京 100048
Author(s):
LIU Ruizhi;  ZHAO Shouxiang*
School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048,China
分类号:
TS 941.79
文献标志码:
A
摘要:
我国幅员辽阔,人口众多,不同地区人口体型不同,服装号型结构存在差异,服装生产时需要根据目标客户体型特点建立合理的号型结构以满足顾客的需求。以陕西地区男子体型为研究对象,利用SPSS软件进行大数据分析,结合回归分析、相关性分析、因子分析、聚类分析等方法,快速准确地建立上衣号型结构。该设计方案可以为服装设计和生产提供参考与借鉴。
Abstract:
China is a vast country with a large population. Different regions have different body shapes and clothing size structures. It is necessary to establish a reasonable size structure to meet the needs of customers according to the body shape characteristics of the target customers. Taking the design of men’s shirt size structure in Shaanxi Province as an example, the large data analysis was carried out by SPSS software, and the shirt size structure was established quickly and accurately by combining regression analysis model, correlation analysis, factor analysis, cluster analysis and so on. It is hoped that the design scheme can be used for reference by garment manufacturers.

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更新日期/Last Update: 2019-12-30