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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...
Autores principales: | Haslbeck, Jonas M. B., Wulff, Dirk U. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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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 |
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