Clustering Technique For Analyzing Garment Sizing Systems

Abstract

In garment production engineering, sizing system plays an important role for manufacturing of clothing. The standards for defining the size status are a critical issue. Locating the right garment size for a customer depends on the label as an interface. The intend in of this research is to use data mining technique (clustering) to access the suitability of the standard sizing system to Sudanese (men shirt & men trousers). The data set used in the research was collected for the men’s age ranges between 25 and 66 years. This research is comparing international standard sizing system (XS, S, M, L, XL, 2XL, 3XL), with our data set. There are 3 experiments have been performed to find the distribution of Sudanese (male) sizes. The results show that: The size 3XL does almost not exist among the data and the majority of Sudanese are in the S sizes (36% for shirt) and L sizes (43% for trouser).