An Approach of Indian Men Shirt Sizing by Data Mining Technique
DOI:
https://doi.org/10.9734/bpi/costr/v3/2368BKeywords:
Data mining, clustering, classifiers, IBK KNN, logitboost, clothing industry, anthropometric dataAbstract
In Garment production industry, sizing system plays an important role. This research publication intend to introduce a strong approach that it could be used for developing sizing systems by data mining techniques using an Indian anthropometric data. By using a new approach of two-stage data mining procedure shirt size type of Indian men has been determined. This approach included two phases. First phase would be Cluster analysis, then cases sorted to the cluster results to extract the most significant classification algorithms of the shirt size as a Second phase. A sizing system developed for the Indian men age group from 25 and 66 years, based on the chest size determined in the data mining procedure.
In the sizing system, definition of the size label is a critical issue that it determines quickly locating the right garment size for further consideration of consumers.
