@conference{10902/2468,
year = {2010},
month = {9},
url = {http://hdl.handle.net/10902/2468},
abstract = {A method for the unsupervised clustering of optically thick textile dyes based on their spectral properties is demonstrated in this paper. The system utilizes optical fibre sensor techniques in the Ultraviolet-Visible-Near Infrared (UV-Vis-NIR) to evaluate the absorption spectrum and thus the colour of textile dyes. A multivariate method is first applied to calculate the optimum dilution factor needed to reduce the high absorbance of the dye samples. Then, the grouping algorithm used combines Principal Component Analysis (PCA), for data compression, and K-means for unsupervised clustering of the different dyes. The feasibility of the proposed method for textile applications is also discussed in the paper.},
organization = {This work has been supported by CYCIT project TEC2007-67987-C02-01, funded by the Spanish Government, and HyperTINTEX project, co-funded by Textil Santanderina S.A. and the Regional Government of Cantabria. Authors also want to thank SERCAMAT for providing the precision scale.},
publisher = {SPIE Society of Photo-Optical Instrumentation Engineers},
publisher = {Proceedings of SPIE, 2010, vol. 7653, 76533J},
publisher = {Fourth European Workshop on Optical Fibre Sensors, Oporto, 2010},
title = {Unsupervised grouping of industrial textile dyes using K-means algorithm and optical fibre spectroscopy},
author = {Cubillas de Cos, Ana María and Conde Portilla, Olga María and Anuarbe Cortés, Pedro and Quintela Incera, Antonio and López Higuera, José Miguel},
}