Identifying the Regions of a Space with the Self-Parameterized Recursively Assessed Decomposition Algorithm (SPRADA)
This paper introduces a non-parametric methodology based on classical unsupervised clustering techniques to automatically identify the main regions of a space, without requiring the objective number of clusters, so as to identify the major regular states of unknown industrial systems. Indeed, useful...
Main Authors: | Dylan Molinié, Kurosh Madani, Véronique Amarger, Abdennasser Chebira |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
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Series: | Machine Learning and Knowledge Extraction |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-4990/5/3/51 |
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