Effect of Recursive Cluster Elimination with Different Clustering Algorithms Applied to Gene Expression Data-Reference-Cited by-同舟云学术

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Effect of Recursive Cluster Elimination with Different Clustering Algorithms Applied to Gene Expression Data

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:2023 Innovations in Intelligent Systems and Applications Conference (ASYU)
language:
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Author:

Kuzudisli Cihan¹,Bakir-Gungor Burcu²,Qaqish Bahjat F.³,Yousef Malik.⁴

Affiliation:

1. Hasan Kalyoncu University,Department of Computer Engineering,Gaziantep,Turkey

2. Abdullah Gul University,Department of Computer Engineering,Kayseri,Turkey

3. University of North Carolina at Chapel Hill,Department of Biostatistics,North Carolina,USA

4. Zefat Academic College,Department of Information Systems,Zefat,Israel

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296537/10296542/10296734.pdf?arnumber=10296734

Reference21 articles.

1. Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm

2. Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework

3. Parallel algorithms for hierarchical clustering

4. K-Medoids Clustering Using Partitioning Around Medoids for Performing Face Recognition

5. KNIME: the konstanz information miner;berthold;Studies in Classification Data Analysis and Knowledge Organization,2007

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