DBGSA: A novel data adaptive bregman clustering algorithm-Reference-Cited by-同舟云学术

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DBGSA: A novel data adaptive bregman clustering algorithm

Published:2024-05 Issue: Volume:131 Page:107846
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Xiao Ying,Li Hou-biao^ORCID,Zhang Yu-pu^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference41 articles.

1. Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm;Al-Kababchee;J. Intell. Syst.,2023

2. Improving penalized regression-based clustering model in big data;Al-Kababchee;J. Phys. Conf. Ser.,1897

3. Gravitational search algorithm: a state-of-the-art review;Bala,2019

4. Clustering with Bregman divergences;Banerjee;J. Mach. Learn. Res.,2005

5. Newtonian clustering: An approach based on molecular dynamics and global optimization;Blekas;Pattern Recognit.,2007

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1. An adaptive highly improving the accuracy of clustering algorithm based on kernel density estimation;Information Sciences;2024-01

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