周一分享(七十七):Matlab精读复刻论文之代码复刻4

Matlab精读复刻论文

Matlab reads the reproduction paper

分享兴趣，传播快乐，

增长见闻，留下美好。

亲爱的您，

这里是LearingYard学苑！

今天小编为大家带来Matlab精读复刻论文。

欢迎您的用心访问！

本期推文阅读时长大约5分钟，请您耐心阅读。

Share interests, spread happiness,

increase knowledge, and leave beauty behind.

Dear you,

this is LearningYard Academy!

Today,the editor brings you Matlab intensive reading reproduction paper.

Welcome your visit!

The reading time of this tweet is about 5 minutes, please read it with patience.

本周小编将从思维导图、精读内容、知识补充三个板块介绍公式（15）的代码。

This week, the editor will introduce the code of the formula (15) from three sections: mind map, intensive reading content, and knowledge supplementation.

01

思维导图

02

精读内容

步骤2中首先依据公式（15），基于聚类算法将大规模决策群体分组。

In step 2, according to the formula (15), the large-scale decision-making groups are grouped based on the clustering algorithm.

根据公式（15）可知，

According to equation (15),

由步骤1可知，

As can be seen from step 1,

由构成，由构成，所以U与完全相同。

is composed of and is composed of , so is exactly the same as.

代码如下图所示：

The code is shown in the following figure:

结果如下图所示：

The result is shown in the following figure:

03

知识补充

聚类算法

Clustering algorithm

聚类分析又称群分析，它是研究（样品或指标）分类问题的一种统计分析方法，同时也是数据挖掘的一个重要算法。

Cluster analysis, also known as group analysis, is a statistical analysis method to study classification problems (samples or indicators), and it is also an important algorithm for data mining.

聚类分析是由若干模式组成的，通常，模式是一个度量的向量，或者是多维空间中的一个点。

Clustering is made up of patterns, typically a vector of measures or a point in a multidimensional space.

聚类分析以相似性为基础，在一个聚类中的模式之间比不在同一聚类中的模式之间具有更多的相似性。

Cluster analysis is based on similarity, with more similarities between patterns in a cluster than between patterns that are not in the same cluster.

算法思想：

Algorithmic ideas:

今天的分享就到这里了。

如果您对今天的文章有独特的想法，

欢迎给我们留言，

让我们相约明天。

祝您今天过得开心快乐！

That's it for today's sharing.

If you have a unique idea about today’s article,

welcome to leave us a message,

let us meet tomorrow.

I wish you a nice day today!

参考资料：Bing Microsoft Translator、百度、CSDN

参考文献：

[1]王伟明, 徐海燕, 朱建军. 复杂网络视角下的大规模群体DEMATEL决策方法 [J]. 系统工程理论与实践, 2021, 41(1): 200-212.

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文字|Zheng

排版|Zheng

审核|任务达人