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图聚类

[英]Graph Clustering

I've been searching paper about method review in graph clustering but not satisfied me, please tell me what is best method (according to you) in graph clustering, so sorry if my question very general 我一直在搜索有关图聚类中方法审查的论文,但不满意我,请告诉我什么是图聚类中最好的方法(根据您的情况) ,对不起,如果我的问题很笼统

Thanks 谢谢

With such an open question, I guess I can recommend you to try WEKA . 有了这样一个开放的问题,我想我可以推荐您尝试WEKA

It has a nice set of user interfaces to let you import your dataset and then try and compare various classification and clustering algorithms on your data, without writing even one line of code. 它具有一组不错的用户界面,可让您导入数据集,然后尝试比较数据上的各种分类和聚类算法,而无需编写任何代码。

After you identified an algorithm that works for your problem, you can then search for a nice and fast implementation in the programming language of your choice. 确定了适合您问题的算法后,您就可以使用自己选择的编程语言来寻找一种不错的快速实现。

EDIT: since you mentioned the graph tag, maybe you should have a look at Markov Cluster Algorithm , or else, you will have a hard time trying to represent your graph data in a format suitable for the distance based clustering algorithms in WEKA. 编辑:既然您提到了graph标记,也许您应该看看Markov聚类算法 ,否则,您将很难以适合WEKA中基于距离的聚类算法的格式表示图形数据。

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