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Feb, 2023
基于密度的近似谱聚类相似度算法用于噪声数据集
Approximate spectral clustering density-based similarity for noisy datasets
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Mashaan Alshammari, Masahiro Takatsuka
TL;DR
提出了一种名为DCONN的有向连通性矩阵，用于较高效地构建近似谱聚类图，并使用噪声过滤方案高亮潜在聚类。
Abstract
approximate spectral clustering
(ASC) was developed to overcome heavy computational demands of spectral clustering (SC). It maintains SC ability in predicting non-convex clusters. Since it involves a
preprocessing step<
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