Abstract
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.
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Farcomeni, A., Dotto, F. The power of (extended) monitoring in robust clustering. Stat Methods Appl 27, 651–660 (2018). https://doi.org/10.1007/s10260-017-0417-8
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DOI: https://doi.org/10.1007/s10260-017-0417-8