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The power of (extended) monitoring in robust clustering

机译:鲁棒集群中(扩展)监视的功能

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摘要

We complement the work of Cerioli, Riani, Atkinson and Corbellini by discussing monitoring in the context of robust clustering. This implies extending the approach to clustering, and possibly monitoring more than one parameter simultaneously. The cases of trimming and snipping are discussed separately, and special attention is given to recently proposed methods like double clustering, reweighting in robust clustering, and fuzzy regression clustering.
机译:通过讨论在强大聚类环境下的监视,我们补充了Cerioli,Riani,Atkinson和Corbellini的工作。这意味着将方法扩展到聚类,并可能同时监视多个参数。修剪和剪裁的情况将分别讨论,并特别注意最近提出的方法,例如双重聚类,鲁棒聚类中的加权和模糊回归聚类。

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