Robust clustering based on trimming
Producción Científica
| Authors: | , |
|---|---|
| Format: | article |
| Status: | Published version |
| Publication Date: | 2024 |
| Country: | España |
| Institution: | Universidad de Valladolid |
| Repository: | UVaDOC. Repositorio Documental de la Universidad de Valladolid |
| OAI Identifier: | oai:uvadoc.uva.es:10324/72570 |
| Online Access: | https://doi.org/10.1002/wics.1658 https://uvadoc.uva.es/handle/10324/72570 |
| Access Level: | Open access |
| Keyword: | clustering model-based clustering robustness trimming 1209 Estadística |
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Robust clustering based on trimmingGarcía Escudero, Luis ÁngelMayo Iscar, Agustínclusteringmodel-based clusteringrobustnesstrimming1209 EstadísticaProducción CientíficaClustering is one of the most widely used unsupervised learning techniques. However, it is well-known that outliers can have a significantly adverse impact on commonly applied clustering methods. On the other hand, clustered outliers can be particularly detrimental to (even robust) statistical procedures. Therefore, it makes sense to combine concepts from Robust Statistics and Cluster Analysis to deal with both clusters and outliers simultaneously through robust clustering approaches. Among the existing robust clustering techniques, we focus on those that rely on (impartial) trimming. Trimming offers the user an easy interpretation, as standard well-known clustering methods are applied after a fraction of the potentially most outlying observations is removed. This trimming approach, when combined with appropriate constraints on the clusters' dispersion parameters, has shown a good performance and can be implemented efficiently thorough available algorithms.Este trabajo forma parte del proyecto de investigación PID2021-128314NB-I00 financiado por MCIN/AEI/10.13039/501100011033/FEDER.Wiley2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1002/wics.1658https://uvadoc.uva.es/handle/10324/72570reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://wires.onlinelibrary.wiley.com/doi/10.1002/wics.1658info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/oai:uvadoc.uva.es:10324/725702026-06-13T12:44:47Z |
| dc.title.none.fl_str_mv |
Robust clustering based on trimming |
| title |
Robust clustering based on trimming |
| spellingShingle |
Robust clustering based on trimming García Escudero, Luis Ángel clustering model-based clustering robustness trimming 1209 Estadística |
| title_short |
Robust clustering based on trimming |
| title_full |
Robust clustering based on trimming |
| title_fullStr |
Robust clustering based on trimming |
| title_full_unstemmed |
Robust clustering based on trimming |
| title_sort |
Robust clustering based on trimming |
| dc.creator.none.fl_str_mv |
García Escudero, Luis Ángel Mayo Iscar, Agustín |
| author |
García Escudero, Luis Ángel |
| author_facet |
García Escudero, Luis Ángel Mayo Iscar, Agustín |
| author_role |
author |
| author2 |
Mayo Iscar, Agustín |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
clustering model-based clustering robustness trimming 1209 Estadística |
| topic |
clustering model-based clustering robustness trimming 1209 Estadística |
| description |
Producción Científica |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://doi.org/10.1002/wics.1658 https://uvadoc.uva.es/handle/10324/72570 |
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https://doi.org/10.1002/wics.1658 https://uvadoc.uva.es/handle/10324/72570 |
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Inglés |
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Inglés |
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https://wires.onlinelibrary.wiley.com/doi/10.1002/wics.1658 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
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application/pdf |
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Wiley |
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