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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Autores principales: Anny K. G. Rodrigues, Raydonal Ospina, Marcelo R. P. Ferreira
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/566a041732bf443083188d6298371576
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