Our previous study compared the effectiveness of Clemson color clustering (CCC) shade sorting, originating at Clemson University, with a shade sorting process called K-means, originating at the Indian Institute of Technology. We proved that these two methods were suitable for shade sorting since their performance was very much alike. These results have led to a study of modifications of the CCC shade sorting process by combining hierarchical and nonhierarchical algorithms into a single process in order to improve the effectiveness of shade sorting.
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References
1.
1. AATCC Evaluation Procedure 6, Instrumental Color Measurement, The Technical Manual of the American Association of Textile Chemists and Colorists, Vol. 71, pp. 349–354, 1996.
2.
2. AATCC Testing Method 173-1992, CMC: Calculation of Small Color Differences for Acceptability, The Technical Manual of the American Association of Textile Chemists and Colorists, Vol. 71, pp. 315–318, 1996.
3.
3. Aspland, J. R., CCC vs. 555 Shade Sorting (Letter to Editor), Textile Chem. Color.19 (8), 30–31 (1987).
4.
4. Aspland, J. R., Jarvis, C. W., and Jarvis, J. P., A Comparison of Four Approaches to Shade Sorting, Textile Chem. Color.19 (9), 67–68 (1987).
5.
5. Aspland, J. R., Jarvis, C. W., and Jarvis, J. P., A Review and Assessment of Numerical Shade Sorting Methods, J. Soc. Dyers Colour.106 (10), 315–320 (1990).
6.
6. Aspland, J. R., Jarvis, C. W., and Jarvis, J. P., A Review of Shade Sorting Techniques, in “Book of Papers, 1988 International Conference & Exhibition,” American Association of Textile Chemists and Colorists, 1988, pp. 118-120.
7.
7. Aspland, J. R., Jarvis, C. W., and Jarvis, J. P., An Improved Method for Numerical Shade Sorting, Textile Chem. Color.19 (5), 21–25 (1987).
8.
8. Aspland, J. R., Jarvis, C. W., and Jarvis, J. P., Clemson Color Clustering: An Alternative Method for Shade Sorting, in “Book of Papers, 1986 International Conference & Exhibition,” American Association of Textile Chemists and Colorists, 1986, pp. 162-163.
9.
9. Aspland, J. R., and Jarvis, J. P., Approaches to Shade Sorting, in “Book of Papers, 1993 International Conference & Exhibition,” American Association of Textile Chemists and Colorists, 1993, pp. 321-322.
10.
10. Aspland, J. R., and Jarvis, J. P., Color Consistency and Shade Sorting, Textile Chem. Color.22 (10), 17–18 (1992).
11.
11. Aspland, J. R., and Jarvis, J. P., Colour Clustering for Shade Sorting (Letter to Editor), J. Soc. Dyers Colour.108 (5/6), 288 (1992).
12.
12. Aspland, J. R., and Jarvis, J. P., Shade Sorting Re-Examined, Textile Chem. Color.24(9), 88–91 (1992).
13.
13. Backer, E., “Computer-Assisted Reasoning in Cluster Analysis,” Prentice Hall International Inc., NJ, 1995.
14.
14. BS6923: 1988, British Standard Method for Calculation of Small Colour Differences, British Standard Institution, 1988.
15.
15. Clarke, F. J. J., Mcdonald, R., and Rigg, B., Modification to the JPC79 Colour-difference Formula, J. Soc. Dyers Colour.100 (4), 128–132 (1984).
16.
16. Clarke, F. J. J., Mcdonald, R., and Rigg, B., Modification to the JPC79 Colour Difference Formula (Correspondence), J. Soc. Dyers Colour.100 (9), 281–282 (1984).
17.
17. Harold, R. W., Objective Instrumental Shade Sorting, Colour Technol. Textile Ind., 155-161 (1983).
18.
18. Harold, R. W., Textile: Appearance Analysis and Shade Sorting, Textile Chem. Color.19 (12), 23–31 (1987).
19.
19. ISO 105-J03: 1995, Textiles—Test for Colour Fastness Part J03: Calculation of Colour Differences, International Standard Organization, 1995.
20.
20. Jarvis, J. P., Jarvis, C. W., and Aspland, J. R., Innovative Shade Sorting, Textile Asia (9), 59-62 (1993).
21.
21. Kuehni, R. G., Modification to the JPC79 Colour Difference Formula (Correspondence), J. Soc. Dyers Colour.100 (9), 281–282 (1984).
22.
22. Kuehni, R. G., Objective Color Difference Evaluation in the Textile Industry, Colour Technol. Textile Ind., 123-127 (1983).
23.
23. Li, Y. S. W., Yuen, C. W. M., Yeung, K. W., and Sin, K. M., Comparison of the Performance in Two Numerical Shades Involving Cluster Analysis, Int. J. Clothing Sci. Technol. (submitted for publication).
24.
24. Li, Y. S. W., Yuen, C. W. M., Yeung, K. W., and Sin, K. M., Prediction of the Best Fit Regression Model to Correlate Instrumental Colour Measurement and Visual Assessment, J. Soc. Dyers Colour.115 (1), 22–31 (1999).
25.
25. Li, Y. S. W., Yuen, C. W. M., Yeung, K. W., and Sin, K. M., Regression Analysis to Determine the Optimum Colour Tolerance Level for Instrumental Shade Sorting, J. Soc. Dyers Colour.115 (3), 95–99 (1999).
26.
26. Moynahan, C., New Shade Sorting System Maximizes Fabric Use, Apparel Ind. Mag. (4), 66-68 (1992).
27.
27. Seve, R., New Formula for the Computation of CIE 1976 Hue Difference, Color Res. App.16 (3), 317–218 (1991).
28.
28. Simon, F. T., CCC vs. 555 Shade Sorting (Letter to Editor), Textile Chem. Color.19 (8), 30 (1987).
29.
29. Simon, F. T., Results Aren't Equivalent (Letter to Editor), Textile Chem. Color.20 (4), 32 (1988).
30.
30. Smith, C. B., The Practical Side of Using Color Instrumentation, Textile Chem. Color.17 (11), 13–18 (1985).
31.
31. Stokes, M., and Brill, M. H., Efficient Computation of ΔHab*, Color Res. App.17 (6), 410–411 (1992).
32.
32. Teel, D. R., Aspland, J. R., and Jarvis, J. P., Color Consistency and Practical Aspects of Shade Sorting Using CCC, in “Book of Papers, 1991 International Conference & Exhibition,” American Association of Textile Chemists and Colorists, 1991, pp. 139-142.
33.
33. Teel, D. R., Aspland, J. R., Jarvis, J. P., and Dunlap, K. L., Improved Methods for Colour Inventory Management in the Apparel Industry, Int. J. Clothing Sci. Technol.4 (2/3), 66–70 (1992).
34.
34. Venkatraj, R., Gulrajani, M. L., and Ramanujam, V., Shade Sorting Using a Novel Technique, in “Technological Conference, Resume of Papers, BTRA, SITRA, NITRA & ATIRA,” Vol. 35, 1994, pp. 167-177.
35.
35. Wardman, R. H., Weedall, P. J., and Lavelle, D. A., Some Observations on the Colour Clustering Method of Shade Sorting, J. Soc. Dyers Colour.108 (2), 74–78 (1992).
