The power of (extended) monitoring in robust clustering
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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.
KeywordsDouble clustering Fuzzy clustering Multidimensional monitoring Reweighting Snipping Tuning
- Cerioli A, Riani M, Atkinson AC, Corbellini A (2018) The power of monitoring: how to make the most of a contaminated multivariate sample. Stat Methods Appl. https://doi.org/10.1007/s10260-017-0409-8
- Dotto F, Farcomeni A, García-Escudero LA, Mayo-Iscar A (2017) A fuzzy approach to robust regression clustering. Adv Data Anal Classif 11:691. https://doi.org/10.1007/s11634-016-0271-9
- Dotto F, Farcomeni A, García-Escudero LA, Mayo-Iscar A (2017) A reweighting approach to robust clustering. Stat Comput. https://doi.org/10.1007/s11222-017-9742-x