【摘要】 以29～43岁北京地区的中年女性为研究对象,通过三维扫描技术获取203组人体数据,利用相关性分析,从原有的67项指标中提取出17项指标作为中年女性体型划分的依据,再采用K-means聚类分析将中年女性的体型划分为5类,从而利用二元线性回归分析得出的偏回归系数计算各指标的档差,建立并验证了特征指标与身高、胸围的二元线性回归模型,为我国中高端女装品牌的女装版型调整和成衣制作提供了一定的数据参考。更多还原

【Abstract】 203 women of 29-43 years old in Beijing were taken as the research object, and their body data was obtained through 3 D scanning technology. 17 indicators were extracted from the original 67 indicators through correlation analysis and taken as the basis for the body type classification of middle-aged women. K-means cluster analysis was used to further divide the body type of middle-aged women into 5 categories. The partial regression coefficients obtained by binary linear regression analysis were used to calculate the difference of each category. And the binary linear regression model of the characteristic index, height and bust was verified.The study result provides a certain data reference for the clothing shape adjustment of China’s high-end woman clothing brands and ready-made clothing production.更多还原