Abstract:
The purpose of this research was to use data mining techniques in
establishing standard sizing system for Sudanese army officers garment
based on an anthropometric body measurements variables. It also looked
into the role of classification of the whole body types (upper and lower),
due to its importance for garments manufacturers. From Sudanese army
officers’ database, a data was selected for establishing sizing system for
producing army officers uniform (Poshirt) and to propose a new standard
sizing system. The anthropometric data was collected from Sur military
clothing factory in Sudan. The data set collected for 841 army officers was
used .For each individual (13) anthropometric variables were involved. In
this research data mining methods (WEKA and SPSS) were used forclustering and establishing sizing system. The K-means algorithm was
implemented to determine the final cluster classification in two stages in
the first stage, the (WEKA) clustering method was applied on the original
database to categories the size figures. The (SPSS) method, as quantitative
approach, was used in the second stage in order to generate descriptive
statistics for the raw data following a step by step procedure. Cluster
analysis using chest and waist as a control anthropometric variables
revealed eight distinct clusters namely; XS, S, M, L, XL, XXL, XXXL and
XXXXL respectively. Size codes and upper and lower size limits are
generated. The new proposed sizing system SUD profile was compared
with profile of three national standards sizing charts USA, EUR, and SURThe results revealed that the proposed sizing system follow approximately
the same profile as the three national standards sizes charts chosen.
