Vague聚类分析在模式识别中的应用

Clustering Analyze at Vague Sets and Their Application to Pattern Recognition

本文借鉴灰色关联分析法建立Vague相似关系矩阵,给出了Vague聚类的概念,并在此基础上进行Vague聚类分析。该方法充分利用Vague集的特点,可从肯定、否定和未知度等多维度进行聚类分析。最后用模式识别中的实例验证了本方法的可行性和有效性。

In this paper, a similarity relationship Vague matrix is established by a gray connection analysis method, the concept of Vague cluster is given, and Vague cluster analysis is carried on. According to the characteristic of Vague sets, by employing the method, the Vague cluster analysis can be carried on from affirmation or negation or unknown quantity. The example of Pattern recognition proves it is feasible and valid.