论文标题

非负数据的聚类和矩阵完成的应用

Clustering of Nonnegative Data and an Application to Matrix Completion

论文作者

Strohmeier, C., Needell, D.

论文摘要

在本文中,我们提出了一种简单的算法,以将非阴性数据集中在不相交子空间中。我们分析了与所述子空间之间一定相关性的一定量度相关的性能。我们使用聚类算法来开发矩阵完成算法,该算法可以在满足某些自然条件的数据矩阵上胜过标准矩阵完成算法。

In this paper, we propose a simple algorithm to cluster nonnegative data lying in disjoint subspaces. We analyze its performance in relation to a certain measure of correlation between said subspaces. We use our clustering algorithm to develop a matrix completion algorithm which can outperform standard matrix completion algorithms on data matrices satisfying certain natural conditions.

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