Study and Application of Fuzzy Clustering Model Of Womens Body Shape

摘要：

Because of the fuzziness of body shape classification, its difficult to distinguish one body belonging to one kind of body shape, not belonging to another. So, its more reasonable to distinguish body shape by fuzzy clustering. In this paper, a fuzzy clustering model of womens body shape has been established based on the feature indexes. Using this model, according to the feature indexes of womens body shape S and Q, womens body shapes have been clustered. S is the proportion of body length to bust girth and Q is the proportion of the back length to the length of front centerline. Based on the principle of maximum membership, all samples were clustered into nine groups by feature indexes S and Q.

关键词： body shape feature index body classification fuzzy clustering model

作者: Hua-E WANG

作者单位: Garment and Art Design College, Jiaxing University, Jiaxing 314001, China

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 249-252

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）