An Improved K-means Clustering Algorithm for Multi-dimensional Multi-cluster data Using Meta-heuristics-Reference-Cited by-同舟云学术

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An Improved K-means Clustering Algorithm for Multi-dimensional Multi-cluster data Using Meta-heuristics

Published:2021-12-18 Issue: Volume: Page:
ISSN:
Container-title:2021 24th International Conference on Computer and Information Technology (ICCIT)
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Author:

Ashraf Faisal Bin¹,Matin Abdul²,Shafi Md. Shafiur Raihan³,Islam Muhammad Usama⁴

Affiliation:

1. Brac University,Department of Computer Science and Engineering,Bangladesh

2. Uttara University,Department of Computer Science and Engineering,Bangladesh

3. Southeast University,Department of Computer Science and Engineering,Bangladesh

4. University of Louisiana at Lafayette,Center for Advanced Computer Studies,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9689773/9689775/09689836.pdf?arnumber=9689836

Reference24 articles.

1. Giza Pyramids Construction: an ancient-inspired metaheuristic algorithm for optimization

2. Unsupervised K-Means Clustering Algorithm

3. Improving k -means through distributed scalable metaheuristics

4. Optimization of clustering process for WSN with hybrid harmony search and K-means algorithm

5. Convergence properties of the k-means algorithms;bottou;In Advances in Neural Information Processing Systems,1995

Cited by 2 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 hospital emigration to another region in the light of the environmental, social and governance model in Italy during the period 2004-2021;BMC Public Health;2024-07-15

2. Multi-start local search algorithm based on a novel objective function for clustering analysis;Applied Intelligence;2023-04-06

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