聚类数值的作用是什么，聚类分析的作用与意义

今天的学习内容为对所做可视化结果的理解第二部分的内容——聚类的功能。

Today’s study is the second part of the understanding of the results of the visualization done – the function of clustering.

1

共词分析法

共词分析法的原理是通过利用文献集中词汇或名词短语共同出现的情况，来确定该文献集所代表学科中各主题之间的关系。

通过对紧密联系的关键词构成的小团体进行归纳所以，我们可以得到一个主题，许多文献可以有很多个主题，最后得到众多主题与文献之间的关系。

The principle of co-word analysis is to determine the relationship between themes in the disciplines represented in a collection of literature by using the co-occurrence of words or noun phrases in that collection.

By summarizing a small group of closely related keywords, we can obtain a theme, many literatures can have many themes, and finally the relationship between numerous themes and literatures.

2

聚类功能实现的步骤

聚类是在关键词共现的基础上进行的。

点击菜单栏windows下方紫色图标处即可实现聚类。

点击紫色图标右边第二个图标K即可出现聚类名称。

Citespace默认当关键词<0时，不显示一部分聚类。可以在“Filters”中取消“Show the Largest Connected Componet Only”选项，然后重新聚类。点击“Clusters”——“Show the Largest K Clusters”后也可根据自己的需求重新设置数量的聚类，即输入自己所需关键词最多的前几个聚类数，也可用序号聚类。

Clustering is done on the basis of keyword co-occurrence.

Clustering is achieved by clicking on the purple icon at the bottom of the menu bar windows.

By default, Citespace does not show part of the clusters when the keyword is <0. You can uncheck the “Show the Largest Connected Componet Only” option in “Filters” and re-cluster. Click “Clusters” – “Show the Largest K Clusters” and you can also reset the number of clusters according to your needs You can also re-cluster the number of clusters according to your needs by clicking “Clusters” – “Show the Largest K Clusters”, i.e., enter the first few clusters with the most keywords you need, or use the serial number clusters.

参考资料：文字：百度；图片：微博；翻译：百度翻译

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