A clustering algorithm based on the weighted entropy of conditional attributes for mixed data-Reference-Cited by-同舟云学术

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A clustering algorithm based on the weighted entropy of conditional attributes for mixed data

Published:2021-03-31 Issue:17 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Zhou Jing¹^ORCID,Chen Ke¹^ORCID,Liu Jinsheng²

Affiliation:

1. College of Computer Guangdong University of Petrochemical Technology MaoMing China

2. College of Electronic Information Guangdong University of Petrochemical Technology MaoMing China

Funder

Natural Science Foundation of Guangdong Province

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6293

Reference33 articles.

1. A Gaussian error correction multi‐objective positioning model with NSGA‐II

2. A throughput maximization strategy for scheduling transaction-intensive workflows on SwinDeW-G

3. Differential Privacy Techniques for Cyber Physical Systems: A Survey

4. PuthalD NepalS RanjanR ChenJ.A dynamic key length based approach for real‐time security verification of big sensing data stream. Paper presented at: Proceedings of the International Conference on Web Information Systems Engineering (WISE 2015) Miama; 2015:93‐108.

5. DEAL: differentially private auction for blockchain based microgrids energy trading;Hassan M;IEEE Trans Serv Comput,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hybrid similarity measure-based clustering approach for mixed attribute data;International Journal of Machine Learning and Cybernetics;2023-09-21

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