In clothing engineering, sizing system plays an important role for manufacturing of clothing.
This study aims to introduce a strong approach that it could be used for developing sizing systems by data
mining techniques using anthropometric data. By using a new approach of Three-stage data mining procedure
lower body figure type of Iranian male people determined. This approach included three phases. First of all,
Factor analysis was employed to mine through the variable and to determine the main effective factors.
Second, by using a two-step cluster analysis included both hierarchical and non-hierarchical clustering,
cases sorted to the clusters according to the factor analysis results. Third, the decision tree analysis employed
to extract the most significant classification rules of the body type based on the results of cluster and factor
analysis. A sizing system developed for the Iranian male age between 16 and 22, based on the body type
determined in the data mining procedure. The result showed that three body type and sizing system developed,
have a good fit performance.