@article{hristian_identification_2020,
	title = {Identification of influence factors on physical-mechanical properties, using the principal component analysis, in selecting the textile fabrics for the clothing products},
	volume = {71},
	issn = {12225347},
	url = {http://revistaindustriatextila.ro/images/2020/5/005%20LILIANA%20HRISTIAN_Industria%20Textila%205_2020.pdf},
	doi = {10.35530/IT.071.05.1754},
	abstract = {The paper aims to highlight the correlations between the physical-mechanical properties of woven fabrics made of
combed wool yarn with different fibrous compositions, using the Principal Component Analysis (PCA) method. Based
on the information on each fabric/assortment group, it is found that four main factors were extracted: durability, comfort,
production price and fabric design. The extracted components explain 92\% of the variability of the twelve initial
inter-correlated variables, so that we can considerably reduce the complexity of the data configured using these
components, with only 8\% loss of information. This technique that follows the controlled reduction of the number of
variables can be used subsequently for modelling the physical-mechanical properties of the fabrics and for selecting the
most suitable fabrics to satisfy the requirements of a particular field of use},
	number = {05},
	urldate = {2020-10-30},
	journal = {Industria Textila},
	author = {Hristian, Liliana and Ostafe, Maria Magdalena and Dulgheru, Ionut and Buhu, Liliana and Buhu, Adrian and Negru, Daniela},
	month = oct,
	year = {2020},
	pages = {438--445},
}