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Apr, 2014
用于非对称网络的层次化准聚类方法
Hierarchical Quasi-Clustering Methods for Asymmetric Networks
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Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
TL;DR
本文提出了分层准聚类方法，用于不对称网络，保留输入数据的不对称性, 该输出结构等价于有限准超度量空间并用美国国内人口迁移为例说明准聚类分析的价值。
Abstract
This paper introduces
hierarchical quasi-clustering methods
, a generalization of hierarchical clustering for
asymmetric networks
where the output structure preserves the asymmetry of the input data. We show that
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