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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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Detalhes bibliográficos
Publicado no:Comput Stat
Main Authors: Haslbeck, Jonas M. B., Wulff, Dirk U.
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7550318/
https://ncbi.nlm.nih.gov/pubmed/33088024
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00180-020-00981-5
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