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Clustering approximation via a fusion of multiple random samples

Published:2024-01 Issue: Volume:101 Page:101986
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Mahmud Mohammad Sultan,Huang Joshua Zhexue,García Salvador

Funder

MICINN

Junta de Andalucia Consejeria de Transformacion Economica Industria Conocimiento y Universidades

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference44 articles.

1. Approximate computation for big data analytics;Ma;ACM SIGWEB Newsl.,2021

2. Ultra-scalable spectral clustering and ensemble clustering;Huang;IEEE Trans. Knowl. Data Eng.,2020

3. A dynamic split-and-merge approach for evolving cluster models;Lughofer;Evol. Syst.,2012

4. An efficient and scalable family of algorithms for combining clusterings;Mimaroglu;Eng. Appl. Artif. Intell.,2013

5. Randomization tests;Edgington,2011

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