BriefGPT.xyz
Nov, 2018
快速对称非负矩阵分解中的对称丢弃
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
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Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li
TL;DR
本文介绍了一种解决对称非负矩阵分解问题的快速算法,该算法通过将对称问题转化为非对称的形式进行求解,并证明了这种方法能够在达到全局最优解的同时具有强收敛性,实验表明该算法在数据分析和聚类任务中的应用效果良好。
Abstract
symmetric nonnegative matrix factorization
(NMF), a special but important class of the general NMF, is demonstrated to be useful for
data analysis
and in particular for various
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