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Unsupervised Hierarchical Classification Approach for Imprecise Data in the Breast Cancer Detection

(1) Background: in recent years, a lot of the research of statistical methods focused on the classification problem in presence of imprecise data. A particular case of imprecise data is the interval-valued data. Following this research line, in this work a new hierarchical classification technique f...

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Detalles Bibliográficos
Autores principales: Fordellone, Mario, Chiodini, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316630/
https://www.ncbi.nlm.nih.gov/pubmed/35885149
http://dx.doi.org/10.3390/e24070926