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首页> 外文期刊>Journal of applied statistics >Classification of textile fabrics using statistical multivariate techniques
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Classification of textile fabrics using statistical multivariate techniques

机译：使用统计多元技术对纺织品进行分类

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摘要

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.
机译：在这项研究中，已经尝试使用统计多变量技术（例如判别分析和聚类分析）基于物理特性对纺织品进行分类。最初，判别函数已构建用于对由涤纶，莱赛尔/粘胶和经处理涤纶组成的三种已知织物类别进行分类。分类产生了百分之一百的准确性。三种不同类别的织物中的每一种都进一步经过了K-means聚类算法，该算法产生了三个聚类。对这些聚类进行判别分析，这再次产生了100％正确的分类，表明聚类被很好地分离了。还针对测量研究了簇的性质。

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