DWN中基于模式的谱聚类方法研究

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI:10.1109/MICAI-2016.2016.00019

Mehdi Sadeghi-Moghadam, Hamideh Haghparast, Seyed Abdolhamed Hoseinpour

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引用次数: 0

摘要

有向加权网络(DWN)中基于模式的谱聚类方法在计算机工程、电子商务和经济等领域有着重要的应用。在本文中，我们从一些现有基准数据集的聚类质量的角度编译了几种最先进的算法。实验结果表明，有必要提出一种更通用的基于模式的DWN光谱聚类方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Study on Pattern-Based Spectral Clustering Methods in DWN

Pattern based spectral clustering methods in directed weighted network (DWN) have significant applications in many domains, including computer engineering, E-commerce and economics. In this paper, we compile several of the state of the art algorithms from the point of view of clustering quality over some existing benchmark datasets. Experimental results show that, it is necessary to propose a more common pattern based spectral clustering method in DWN.

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2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI)

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