Its algorithms mainly include transitive closure method, dynamic direct clustering method and maximum tree method, among which dynamic direct clustering method has the least computation.
In practical application, we must go through data preprocessing, especially normalization and other processing steps, select appropriate fuzzy relations to establish fuzzy similarity matrix, and then cluster and pattern recognition.
Application of Paste Cluster Analysis in Quality Evaluation of Students
Student quality evaluation plays an important role in the development of the school.
Evaluate students' quality from five aspects: morality, intelligence, physique, ability and labor.
Firstly, the obtained data are normalized; Then, the fuzzy similarity matrix is constructed. Finally, cluster analysis of students' quality evaluation is carried out by using web weaving method. This method is simple and easy to understand, and the calculation amount is small, and the expected effect is achieved.
Application of fuzzy mathematics in cluster analysis of blood protein polymorphism of livestock and poultry
The research on animal and plant protein polymorphism has made rapid progress in China, and there are more and more reports about it at home and abroad. But this research has a history of nearly a hundred years, and the real development is nearly ten years. China started late, and its research and application have been rapid in recent years. At present, it has been pushed to the prefecture level. It can be seen that the popularization of this research and application is not far away in China. 1. Southwest University for Nationalities. Xichang Agricultural College. Mianchang Animal Husbandry Bureau ... This study shows that animal husbandry and veterinary work in China has entered the molecular level. Because the research and method of polymorphism in protein is simple, time-saving and money-saving, it can be applied by grass-roots units. But the key problem of this method is cluster analysis. There are many methods of cluster analysis. For example, the shortest genetic distance cluster analysis, class average cluster analysis and genetic similarity coefficient analysis in genetic distance cluster analysis, we see the matrix method, but there is no unified specific analysis method in the cluster analysis of protein polymorphism of livestock and poultry. So we cluster the genetic similarity coefficient according to the fuzzy mathematics principle introduced now. For the reference of peers, fuzzy mathematics is the mathematics to study and deal with some fuzzy phenomena. But it is not to turn mathematics into fuzzy unitary, but to achieve accurate goals through fuzzy means in many control processes. In the study of protein polymorphism of livestock and poultry, genetic similarity coefficient is also a common analysis index in cluster analysis.
Application of fuzzy mathematics cluster analysis in the study of traits of hybrid offspring of carp
Hybrid carp is similar to its parents, and the mathematical language is ambiguous.
By using the fuzzy mathematics cluster analysis method, the fuzzy similarity matrix is established at first, and the cluster classification diagram of carp growth traits is obtained. Finally, it is concluded that the similarity of F 1 generation of Sanjiao carp and Heyuan carp is greater than that of the male parent.
This is of certain significance to the theory and production of fish hybrid breeding.