APPLICATION OF DATA MINING METHODS IN ESTABLISHING SIZING SYSTEM FOR CLOTHING INDUSTRY

The purpose of this paper is to present the possible uses of data mining methods in establishing standard sizing s ystem based on anthropometric body measurements variables. Sudanese army officers database was selected for establishing sizing system because of the need for producing army officers uniform (poshirt) for the whole body types (upper and lower). The anthropometric data was collected for 841 army officers from Sur Military Clothing Factory in Sudan. For each individual (13) ant hropometric variables were involved resulting in a total of 10933 variables. The data mining methods applied to establish the standard sizing system were (WEKA 3.6.9 and SPSS). However, both methods were used for clustering and establishing sizing system b y implementing the Simple K - means algorithm to determine the final cluster classification .Cluster analysis using chest and waist as a control anthropometric variables revealed a proposed new established sizing system with eight distinct clusters. The eigh t types of body shapes namely; XXS, XS , S, M, L, XL , XXL and XXXL respectively