BriefGPT.xyz
Jul, 2020
基于块模型引导的无监督特征选择
Block Model Guided Unsupervised Feature Selection
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Zilong Bai, Hoa Nguyen, Ian Davidson
TL;DR
该研究提出了一种基于图驱动的无监督特征选择方法 BMGUFS,首先构建一个块模型用于发现特征空间中实例的高阶关系,然后根据块模型找到合适子集特征以达到聚类性能最优。
Abstract
feature selection
is a core area of data mining with a recent innovation of
graph-driven
unsupervised
feature selection
for linked data. I
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