Cuckoo and krill herd‐based k‐means++ hybrid algorithms for clustering

Author:

Aggarwal Shruti1ORCID,Singh Paramvir2

Affiliation:

1. Department of Computer ScienceSri Guru Granth Sahib World University Fatehgarh Sahib India

2. Department of Computer Science and EngineeringDr. B. R. Ambedkar National Institute of Technology Jalandhar India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference22 articles.

1. A comprehensive study of cuckoo-inspired algorithms

2. 2‐Levels of clustering strategy to detect and locate copy‐move forgery in digital images;Abdel‐Basset M.;Multimedia Tools and Applications,2018

3. On Combining Nature-Inspired Algorithms for Data Clustering

4. Ameryan M. Akbarzadeh Totonchi M. R. &Seyyed Mahdavi S. J.(2014).Clustering based on cuckoo optimization algorithm. In Intelligent systems (ICIS) 2014 Iranian conference IEEE pp. 1–6 2014

5. Arthur D. &Vassilvitskii S.(2007).k‐means++: The advantages of careful seeding. In Proceedings of the eighteenth annual ACM‐SIAM symposium on Discrete algorithms (pp. 1027‐1035). Society for Industrial and Applied Mathematics.

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