Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and <i>L</i><sub>2,1</sub>-Norm

Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and <i>L</i><sub>2,1</sub>-Norm

Accurate clustering is a challenging task with unlabeled data. Ensemble clustering aims to combine sets of base clusterings to obtain a better and more stable clustering and has shown its ability to improve clustering accuracy. Dense representation ensemble clustering (DREC) and entropy-based locall...

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Bibliographic Details
Main Authors: Jiaxuan Xu, Jiang Wu, Taiyong Li, Yang Nan
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Entropy
Subjects:
clustering
ensemble clustering
<i>L</i><sub>2,1</sub>-norm
similarity
subspace clustering
dictionary learning
Online Access:https://www.mdpi.com/1099-4300/24/10/1324

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