Abstract
Data mining has been successfully applied in many fields. However, little research has been done in the area of developing female size charts for consumer garment design. Focusing on the anthropometric data of adult females in Taiwan, the goal of this study was to develop garment-size charts, using a cluster-based data mining approach. Certain advantages may be observed when size charts are developed, using the data mining cycle. These include being able to cover a higher percentage of the population, using fewer sizes, and providing manufacturers with reference points to promote products, according to body type and distribution. Since an anthropometric database must be repeatedly updated, size charts may also be continuously renewed via application of the proposed data mining cycle. These newly developed size charts will remain continually beneficial for both production planning and reducing inventory costs, while facilitating the production of garments.