Parameterization-free clustering with sparse data observers

doi:10.1016/j.is.2025.102562

2025-05-19

Félix Iglesias

Tanja Zseby

Arthur Zimek

DOI：10.1016/j.is.2025.102562

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摘要

En 中文

• SDOclust在大多数场景下使用默认参数显示出优异的聚类性能。 • SDOclust：无参数依赖、抗噪声、能够提取非凸聚类。 • SDOclust构建高度可解释的模型。 • 与超过200个数据集和6种聚类替代方法进行详尽比较。 • 对实际应用中的聚类方法学进行深入讨论。

Keyword:

Clustering

Sparse data observers

Unsupervised learning

Data analysis methodologies

期刊

Enterprise Information Systems

IF:

3.9

论文数:

2.8K

被引数:

1.8K

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暂无机构信息

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