The size intervals of HL, HC, and HB are often determined by considering the characteristics of anthropometric data, properties of materials, fit of gloves, and manufacturing cost (Moon, 2002; Roebuck, 1995). The smaller the size interval, the better the fit of gloves, yet the lower the manufacturing cost; thus, a compromise is required to determine an appropriate size interval. Quantitative methods such as cross-tabulation, cluster analysis, and optimization techniques have been employed to establish a reasonable sizing system having the minimum number of size categories for a designated accommodation rate of the target population. Robinette and Annis (1986) and Rosenblad-Wallin (1987) used the cross-tabulation method to determine size categories of mittens and gloves, respectively, by considering both the number of size
categories and fit of the apparel. Next, Chung et al. (2007) and Zheng et al. (2007) employed the K-means clustering technique for the classification of body shape to determine size categories. Lastly,
McCulloch et al. (1998) proposed an optimization approach to determine optimal size categories by quantifying the quality of fit. While the cross-tabulation method applies one selected value to all the interval lengths between size categories, the cluster and optimization techniques produce different size interval lengths.
The size intervals of HL, HC, and HB are often determined by considering the characteristics of anthropometric data, properties of materials, fit of gloves, and manufacturing cost (Moon, 2002; Roebuck, 1995). The smaller the size interval, the better the fit of gloves, yet the lower the manufacturing cost; thus, a compromise is required to determine an appropriate size interval. Quantitative methods such as cross-tabulation, cluster analysis, and optimization techniques have been employed to establish a reasonable sizing system having the minimum number of size categories for a designated accommodation rate of the target population. Robinette and Annis (1986) and Rosenblad-Wallin (1987) used the cross-tabulation method to determine size categories of mittens and gloves, respectively, by considering both the number of size
categories and fit of the apparel. Next, Chung et al. (2007) and Zheng et al. (2007) employed the K-means clustering technique for the classification of body shape to determine size categories. Lastly,
McCulloch et al. (1998) proposed an optimization approach to determine optimal size categories by quantifying the quality of fit. While the cross-tabulation method applies one selected value to all the interval lengths between size categories, the cluster and optimization techniques produce different size interval lengths.
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