A Method of Feature Selection for Textile Yarn Grading Using the Effective Distance Between Clusters

Abstract

By using the effective distance between clusters (EDC) as the basis for feature selection, this paper achieves a significant and effective feature for textile yarn grading, and further upgrades the operational efficiency of such grading. The results, such as feature selection processing to principal axis vectors (PAVS) by EDC, show that the feature's average number and average total distance of mistaken ranking by EDC are only 33.3% and 16.7% of those by Karhunen-Loeve (K-L) expansion, respectively. Furthermore, EDC can be applied directly to the feature selection of property vectors (PVS) and can reduce the measured items of pvs without lowering identification precision. Compared with our previous method of textile yarn grading, EDC provides 16.7% greater efficiency both in measuring pvs and calculating PAV1 time.

Get full access to this article

View all access options for this article.

References

Basak, J. , and Mitra, S. , Feature Selection Using Radial Basis Function Networks, Neural Comput. Applicat. 8, 297-302 (1999).

Chen, Y. , Collier, B. , Hu, P. , and Quebedeaux, D. , Objective Evaluation of Fabric Softness, Textile Res. J. 70(5), 443-448 (2000).

Hunter, A. , Feature Selection Using Probabilistic Neural Networks, Neural Comput . Applicat. 9, 124-132 (2000).

Kawabata, S. , Niwa, M. , and Wang, F. , Objective Hand Measurement of Nonwoven Fabrics, Part I: Development of the Equations, Textile Res. J. 64(10), 597-610 (1994).

Lien, H.C. , and Lee, S. , Applying Pattern Recognition Principles to Grading Textile Yarns, Textile Res. J. 72(4), 320-326 (2002).

Mao, J. , and Jain, A.K. , Artificial Neural Networks for Feature Extraction and Multivariate Data Projection , IEEE Trans. Neural Networks 6, 296-317 (1995).

Niwa, M. , Inoue, M. , and Kawabata, S. , Objective Evaluation of the Handle of Blankets, Textile Res. J. 71(8), 701-710 (2001).

Park, S.W. , Hwang. Y.G. , Kang, B.C. , and Yeo, S.W. , Applying Fuzzy Logic and Neural Networks to Total Hand Evaluation of Knitted Fabrics, Textile Res. J. 70(8), 675-681 (2000).

Radhakrishnaiah, P. , Tejatanalert, S. , and Sawhney, A.P.S. , Handle and Comfort Properties of Woven Fabrics Made from Random Blend and Cotton-Covered Cotton/ Polyester Yarns , Textile Res. J. 63(10), 573-579 (1993).

10.

Rong. G.H. , Slater, K.L. , and Fei, R.C. , The Use of Cluster Analysis for Grading Textile Yarns, J. Textile Inst. 85(3), 389-396 (1994).

11.

Tou, J.T. , and Gonzalez, R.C. , "Pattern Recognition Principles," Addison-Wesley , Reading, MA. 1974.