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News/Simple KNN-Based Outlier Detection Achieves Robust Clustering
arxiv
PublishedMay 11, 2026 at 4:00 AM
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Simple KNN-Based Outlier Detection Achieves Robust Clustering

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Publisher summary· verbatim

arXiv:2605.07130v1 Announce Type: new Abstract: Being robust to the presence of outliers is crucial for applying clustering algorithms in practice. In the $\textit{robust $k$-Means}$ problem (i.e., $k$-Means with outliers), the goal is to remove $z$ outliers and minimize the $k$-Means cost on the re

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#clustering#outlier-detection#machine-learning#algorithms

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Tags
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#clustering#outlier-detection#machine-learning#algorithms

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Originally published on arxiv ↗
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