Modifying an Existing Numerical Shade sorting System Through Cluster Analysis

Y. S. W. Li; C. W. M. Yuen; K. W. Yeung

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Modifying an Existing Numerical Shade sorting System Through Cluster Analysis

机译：通过聚类分析修改现有的数字阴影分类系统

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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 o Technology. We proved that these two methods were suitable for shade sorting since their performance was very much alike.

机译：我们之前的研究将源自克莱姆森大学的克莱姆森色彩聚类（CCC）阴影分类的有效性与源自印度技术研究所的称为K-means的阴影分类过程进行了比较。我们证明了这两种方法非常适合阴影分类，因为它们的性能非常相似。

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《Textile Research Journal》 |2001年第4期|p.287-294|共8页
作者
Y. S. W. Li; C. W. M. Yuen; K. W. Yeung;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
原文格式 PDF
正文语种 eng
中图分类纺织工业、染整工业;
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Modifying an Existing Numerical Shade sorting System Through Cluster Analysis

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