Classification of textile fabrics using statistical multivariate techniques

C. Kiruthika and R. Chandrasekaran

Journal of Applied Statistics, 2012, vol. 39, issue 5, 1129-1138

Abstract: In this study, an attempt has been made to classify the textile fabrics based on the physical properties using statistical multivariate techniques like discriminant analysis and cluster analysis. Initially, the discriminant functions have been constructed for the classification of the three known categories of fabrics made up of polyster, lyocell/viscose and treated-polyster. The classification yielded hundred per cent accuracy. Each of the three different categories of fabrics has been further subjected to the K-means clustering algorithm that yielded three clusters. These clusters are subjected to discriminant analysis which again yielded a 100% correct classification, indicating that the clusters are well separated. The properties of clusters are also investigated with respect to the measurements.

Date: 2012
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DOI: 10.1080/02664763.2011.644521

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