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...

Full description

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