The Impact of Enhancing the k-Means Algorithm through Genetic Algorithm Optimization on High Dimensional Data Clustering Outcomes-Reference-Cited by-同舟云学术

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The Impact of Enhancing the k-Means Algorithm through Genetic Algorithm Optimization on High Dimensional Data Clustering Outcomes

Published:2024-04-18 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)
language:
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Author:

Raman Ramakrishnan¹,Kumar Vikram²,Pillai Biju G.³,Rabadiya Dhaval⁴,Patre Smruti⁵,Meenakshi R.⁶

Affiliation:

1. Symbiosis International (Deemed University)

2. SRV Media Pvt. Ltd

3. Sri Balaji University, Pune (SBUP),Faculty of Management IT & Business Analytics

4. Parul institute of Technology, Parul University,Computer science and Engineering Faculty of Engineering and Technology

5. Symbiosis International (Deemed University),Symbiosis Institute of Business Management Nagpur

6. Chennai Institute of technology,Computer science and Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616388/10616396/10617268.pdf?arnumber=10617268

Reference15 articles.

1. 9. Dynamic Programming

2. nearest neighbor;Beyer

3. k-means++: The advantages of careful seeding;Arthur

4. Adaptation in Natural and Artificial Systems

5. Genetic Algorithms in Search, Optimization, and Machine Learning;Goldberg,1989

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