聚类算法在计量属性基准确定中的应用研究

Application of clustering algorithms in determining benchmarks of measurement attributes

针对目前计量属性基准确定问题,在分析聚类算法优势的基础上,提出了应用聚类算法确定计量属性基准的方法。在本文中,首先分析了聚类算法在计量属性领域拓展应用的可行性,并以此为基础,研究了聚类算法计量属性基准确定模型,探讨了具体确定方法。通过实例验证了模型的正确性。结果表明:该方法不仅拓展了聚类算法的新的应用领域,而且解决了计量属性基准的确定问题。

Based on the analysis of the advantages of clustering algorithm,a method to determine the benchmark of measurement attribute by clustering algorithm is put forward. In this paper,the feasibility of expanding the application of clustering algorithm in the field of measurement attributes is firstly analyzed,and on this basis,the benchmark determination model of measurement attributes of clustering algorithm is studied,and the specific determination method is discussed. The correctness of the model is verified by an example. The results show that this method not only expands the new application field of clustering algorithm,but also solves the problem of determining the measurement attribute benchmark.