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Efficient similarity-based data clustering by optimal object to cluster reallocation
We present an iterative flat hard clustering algorithm designed to operate on arbitrary similarity matrices, with the only constraint that these matrices be symmetrical. Although functionally very close to kernel k-means, our proposal performs a maximization of average intra-class similarity, instea...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5983489/ https://ncbi.nlm.nih.gov/pubmed/29856755 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0197450 |
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