毕业设计 - 欢迎来到重庆邮电大学理学院.doc

编 号： 审定成绩： 重庆邮电大学 毕业设计（论文） 设计（论文）题目： 学院： 学 生 姓 名 ： 专 业 ： 班 级 ： 学 号 ： 指 导 教 师 ： 答辩组 负责人 ： 填表时间：年月 重庆邮电大学教务处制 摘 要 聚类分析研究多分类问题。常见的聚类分析方法有系统聚类、动态聚类和模糊聚类等。基本原理是根据样本自身的属性，用数学方法按照某种相似性指标，定量地确定样本之间的亲疏关系，并按这种亲疏关系程度对样本进行聚类DNA序列进行聚类，得到很好的结果。最后，对模糊聚类分析进行了总结，提出了其不足和有待改进的方面。 【关键词】 ABSTRACT Fuzzy Mathematics is a branch of mathematics that study and deal with the fuzzy phenomenon. Cluster analysis is to study classification problem between the multi-factor, multi-target samples. Common methods of cluster analysis are such as hierarchical clustering analysis, dynamic clustering analysis and fuzzy clustering analysis and so on. Fuzzy clustering analysis is based on fuzzy sets of fuzzy mathematics theory and is being used widely. The basic principle is that considering the samples’ feature, mathematical methods are used to quantitatively determine the affinities between the samples according to an index of similarity, and then samples are clustered. Based on fuzzy mathematics theory, this paper systematically describes the definitions and theorem of fuzzy sets, fuzzy relations, fuzzy matrix, and relevant evidence is given. Then I make a detailed introduction on methods and procedures of fuzzy clustering analysis. This paper focuses on the use of fuzzy clustering analysis method on DNA sequence classification. There are two methods of feature extraction that are proposed, namely codon-based DNA sequence classification and vector-distance-based DNA sequence classification. Two different methods of classification are followed and the programming code is used to get transitive closure and fuzzy equivalence matrix. The result of DNA sequence classification with fuzzy clustering analysis is very reasonable. Finally, I make a summary on fuzzy clustering analysis and present its shortcoming and areas for improvement. 【Key words】fuzzy cluster analysis fuzzy ma