应用于服装号型定制的妊娠期妇女体型分类研究  

The Classification Analysis of the Body Shape for the Pregnant Women Applying to Clothing Size Customization

作　　者：周静 陈晓玲[1] ZHOU Jing;CHEN Xiao-ling(College of Textile and Garment,Hunan Institute of Engineering,Xiangtan Hunan 411104,China)

机构地区：[1]湖南工程学院纺织服装学院,湖南湘潭411104

出　　处：《武汉纺织大学学报》2020年第5期42-46,共5页Journal of Wuhan Textile University

基　　金：湖南工程学院优秀硕士学位论文培育项目(校教字[2018]107号).

摘　　要：为了探索妊娠期妇女体型更为合理的分类方法,随机抽取湖南地区250名孕妇的体型数据进行分析探讨。基于妊娠期妇女的体测数据,利用SPSS软件对体型数据进行主成分分析,依据累积贡献率的大小选取不同主成分的因子得分作为聚类指标进行K-means聚类分析。将孕妇体型聚类为4类,并给出了聚类的方差分析和体型对照。结果表明选取特征值在1.0左右、累积贡献率在80%左右的主成分因子得分实施聚类,所得孕妇体型聚类的效果较好,分类较为细化,可以为孕妇服装号型定制提供参考依据,以此提高孕妇服装的合体性。A new classification method of the body shape for the pregnant women is proposed.The body shape data of 250 pregnant women in Hunan were randomly selected.Based on the obtained body data of women in the stage of pregnancy,principal component analysis was performed on the body shape data using SPSS software,and the factor scores of different principal components were selected as clustering indicators based on the cumulative contribution rate,and K-means cluster analysis was performed.The body shape is clustered into four kinds,and the analysis of variance and the comparison of body sizes are carried out.It is shown that selecting principal component factor scores with eigenvalues around 1.0 and a cumulative contribution rate of about 80%to perform clustering results in better clustering results for pregnant women's body types,and the classification is more detailed.It can provide a reference for the customization of pregnant women's clothing,so as to improve the fit of pregnant women's clothing.

关 键 词：聚类分析 孕妇 体型 SPSS 主成分分析 

分 类 号：TS941.7[轻工技术与工程—服装设计与工程]