Fuzzy Divergence Weighted Ensemble Clustering With Spectral Learning Based on Random Projections for Big Data-Reference-Cited by-同舟云学术

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Fuzzy Divergence Weighted Ensemble Clustering With Spectral Learning Based on Random Projections for Big Data

Published:2024 Issue: Volume:12 Page:20197-20208
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lahmar Ines¹^ORCID,Zaier Aida²,Yahia Mohamed³^ORCID,Ali Tarig⁴^ORCID,Boaullegue Ridha²

Affiliation:

1. MACS Laboratory, University of Gabes, Gabes, Tunisia

2. Innov’Com Laboratory, University of Carthage Tunis, Tunis, Tunisia

3. SYSCOM Laboratory, ENIT, Université Tunis El Manar, Tunis, Tunisia

4. GIS and Mapping Laboratory, American University of Sharjah, Sharjah, United Arab Emirates

Funder

Deanship of Scientific Research (DGRST), Tunisia, under the ARUB Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10415440.pdf?arnumber=10415440

Reference31 articles.

1. A Feature-Reduction Fuzzy Clustering Algorithm Based on Feature-Weighted Entropy

2. Weighted Cluster Ensemble Based on Partition Relevance Analysis With Reduction Step

3. Multi-View Clustering With Learned Bipartite Graph

4. Locally Weighted Ensemble Clustering

5. Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections

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