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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/24/7/926 |