BriefGPT.xyz
Oct, 2015
滤波谱代数子空间聚类
Filtrated Spectral Algebraic Subspace Clustering
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Manolis C. Tsakiris, Rene Vidal
TL;DR
本篇文章提出了一种新的ASC算法来处理任意维度子空间中的嘈杂数据，根据构建点处的递减子空间序列和使用序列中子空间到其他点的距离来构造子空间聚类亲和力，在Hopkins 155数据集上的实验结果证明了该方法在稀疏低秩子空间聚类方法方面的优越性。
Abstract
algebraic subspace clustering
(ASC) is a simple and elegant method based on
polynomial fitting
and differentiation for clustering noiseless data drawn from an arbitrary union of subspaces. In practice, however, A
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