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Estimating the number of clusters via a corrected clustering instability

We improve instability-based methods for the selection of the number of clusters k in cluster analysis by developing a corrected clustering distance that corrects for the unwanted influence of the distribution of cluster sizes on cluster instability. We show that our corrected instability measure ou...

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Detalles Bibliográficos
Autores principales: Haslbeck, Jonas M. B., Wulff, Dirk U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550318/
https://www.ncbi.nlm.nih.gov/pubmed/33088024
http://dx.doi.org/10.1007/s00180-020-00981-5