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Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
arXiv - CS - Distributed, Parallel, and Cluster Computing Pub Date : 2020-11-23 , DOI: arxiv-2011.11223 Nazar Emirov, Cheng Cheng, Qiyu Sun, Zhihua Qu
arXiv - CS - Distributed, Parallel, and Cluster Computing Pub Date : 2020-11-23 , DOI: arxiv-2011.11223 Nazar Emirov, Cheng Cheng, Qiyu Sun, Zhihua Qu
Eigenvectors of matrices on a network have been used for understanding
spectral clustering and influence of a vertex. For matrices with small
geodesic-width, we propose a distributed iterative algorithm in this letter to
find eigenvectors associated with their given eigenvalues. We also consider the
implementation of the proposed algorithm at the vertex/agent level in a
spatially distributed network.
中文翻译:
确定空间分布网络上矩阵特征向量的分布式算法
网络上矩阵的特征向量已用于理解谱聚类和顶点的影响。对于大地测宽度较小的矩阵,我们在本信函中提出了一种分布式迭代算法,以查找与给定特征值关联的特征向量。我们还考虑了在空间分布网络中的顶点/代理级别上提出的算法的实现。
更新日期:2020-11-25
中文翻译:
确定空间分布网络上矩阵特征向量的分布式算法
网络上矩阵的特征向量已用于理解谱聚类和顶点的影响。对于大地测宽度较小的矩阵,我们在本信函中提出了一种分布式迭代算法,以查找与给定特征值关联的特征向量。我们还考虑了在空间分布网络中的顶点/代理级别上提出的算法的实现。