Decision Making in Evolutionary Multiobjective Clustering: A Machine Learning Challenge

Decision Making in Evolutionary Multiobjective Clustering: A Machine Learning Challenge

Evolutionary multiobjective algorithms have become a popular choice to tackle the clustering problem. On the one hand, the simultaneous optimization of complementary clustering criteria offers an increased robustness to changes in data characteristics. On the other hand, the evolutionary search is a...

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Bibliographic Details
Main Authors: Mario Garza-Fabre, Aaron L. Sanchez-Martinez, Edwin Aldana-Bobadilla, Ricardo Landa
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Clustering algorithms
multiobjective clustering
decision making
evolutionary computation
machine learning
pareto optimization
Online Access:https://ieeexplore.ieee.org/document/9940439/

Internet

https://ieeexplore.ieee.org/document/9940439/

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