Adaptive kernel fuzzy clustering for missing data

Many machine learning procedures, including clustering analysis are often affected by missing values. This work aims to propose and evaluate a Kernel Fuzzy C-means clustering algorithm considering the kernelization of the metric with local adaptive distances (VKFCM-K-LP) under three types of strateg...

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Detalles Bibliográficos
Autores principales: Rodrigues, Anny K. G., Ospina, Raydonal, Ferreira, Marcelo R. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589222/
https://www.ncbi.nlm.nih.gov/pubmed/34767560
http://dx.doi.org/10.1371/journal.pone.0259266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589222/
https://www.ncbi.nlm.nih.gov/pubmed/34767560
http://dx.doi.org/10.1371/journal.pone.0259266

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