A three-way cluster ensemble approach for large-scale data
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Publication:2302803
DOI10.1016/j.ijar.2019.09.001zbMath1471.62401OpenAlexW2972986690MaRDI QIDQ2302803
Pawan Lingras, Hong Yu, Yun Chen, Guo-Yin Wang
Publication date: 26 February 2020
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2019.09.001
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Compound decision problems in statistical decision theory (62C25) Statistical aspects of big data and data science (62R07)
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Uses Software
Cites Work
- Unnamed Item
- Decision-theoretic three-way approximations of fuzzy sets
- A three-way clustering approach for handling missing data using GTRS
- Detecting and refining overlapping regions in complex networks with three-way decisions
- Vispark: GPU-Accelerated Distributed Visual Computing Using Spark
- 10.1162/153244303321897735
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