Three-Way Ensemble Clustering Based on Sample’s Perturbation Theory

The complexity of the data type and distribution leads to the increase in uncertainty in the relationship between samples, which brings challenges to effectively mining the potential cluster structure of data. Ensemble clustering aims to obtain a unified cluster division by fusing multiple different...

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Bibliographic Details
Published in:Mathematics (Basel) 2022-08, Vol.10 (15), p.2598
Main Authors: Fan, Jiachen, Wang, Xiaoxiao, Wu, Tingfeng, Zhu, Jin, Wang, Pingxin
Format: Article
Language:English
Subjects:
Algorithms
Clustering
Datasets
Decision making
Decision theory
ensemble clustering
Feature extraction
Machine learning
natural nearest neighbor
Perturbation theory
sample’s perturbation theory
Stability
three-way clustering
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