This paper introduces a statistical approach to predicting fabric end-use based on Kawabata kes-fb data determining fabric physical properties. The classification theory zbasis of discriminant analysis is discussed, and a way to establish classification criteria to characterize fabrics for clothing uses is demonstrated. The mathematical prediction model is described by a quadratic discriminant function that successfully classifies fabrics appropriate for suiting, blouses, and shirts.
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