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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...
Autores principales: | Fordellone, Mario, Chiodini, Paolo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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 |
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