Information Theoretical Clustering Is Hard to Approximate-Reference-Cited by-同舟云学术

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Information Theoretical Clustering Is Hard to Approximate

Published:2021-01 Issue:1 Volume:67 Page:586-597
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Cicalese Ferdinando^ORCID,Laber Eduardo Sany

Funder

Conselho Nacional de Desenvolvimento Cientfico e Tecnolgico

Fundao Carlos Chagas Filho de Amparo Pesquisa do Estado do Rio de Janeiro

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/18/9300279/09226516.pdf?arnumber=9226516

Cited by 3 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. The computational complexity of some explainable clustering problems;Information Processing Letters;2024-02

2. Highlighting Prominent Features for Size Reduction in Time Series Data using Clustering Techniques;2022 IEEE Bombay Section Signature Conference (IBSSC);2022-12-08

3. Clustering and Markov Model of Plug-In Electric Vehicle Charging Profiles for Peak Shaving Applications;International Transactions on Electrical Energy Systems;2022-06-29

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