Extracting appropriate information from infinite number of data requires modern methods. Data mining is one of these tools and approaches that may help in the area of knowledge management in knowledge discovery from the databases. Self-organizing neural network is undoubtedly the most powerful neural networks for data mining. This paper presents a size chart that has been developed based on measurements taken from 2000 women of Yazd. The important input variables have been defined as the chest, waist and hip measurements. In this study, the different size clusters have been investigated through self-organizing neural network model. The results of using the self-organizing neural network indicate that there are four effective size groups that are categorized based on the lowest mean error.
Makooyie, F., Mirjalili, F., Hadizadeh, M., & Peivandi, P. (2012). Applying Self-organizing Neural Network Based on Data Mining to Establish
a Clothing Size Chart. Journal of Textile Science and Technology, 2(2), 97-103.
MLA
Fatemeh Makooyie; Farzaneh Mirjalili; Mohsen Hadizadeh; Pedram Peivandi. "Applying Self-organizing Neural Network Based on Data Mining to Establish
a Clothing Size Chart". Journal of Textile Science and Technology, 2, 2, 2012, 97-103.
HARVARD
Makooyie, F., Mirjalili, F., Hadizadeh, M., Peivandi, P. (2012). 'Applying Self-organizing Neural Network Based on Data Mining to Establish
a Clothing Size Chart', Journal of Textile Science and Technology, 2(2), pp. 97-103.
VANCOUVER
Makooyie, F., Mirjalili, F., Hadizadeh, M., Peivandi, P. Applying Self-organizing Neural Network Based on Data Mining to Establish
a Clothing Size Chart. Journal of Textile Science and Technology, 2012; 2(2): 97-103.
)
