A crucial function for the size system is played in the sector of producing clothes. This study work aims to present a robust methodology that might be applied for creating sizing systems using data mining methods and Indian anthropometric data. A new method of two-stage data mining has been used to identify the shirt size type of Indian men. There were two phases to this strategy. Cluster analysis would be the first stage, and cases would then be sorted according to the cluster results in order to extract the most important classification algorithms for shirt size as the second stage. Based on the chest size discovered during the data mining process, a sizing system was created for the age range of 25 to 66 years for Indian men. The specification of the size label is a crucial component of the sizing system since it helps buyers easily locate the appropriate clothing size for further consideration.
Author(s) Details:
Martin Jeyasingh Mathews,
National Institute of Fashion Technology, Chennai, Tamil Nadu, India.
Please see the link here: https://stm.bookpi.org/COSTR-V3/article/view/8161
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