Spatial clustering based gene selection for gene expression analysis in microarray data classification-Reference-Cited by-同舟云学术

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Spatial clustering based gene selection for gene expression analysis in microarray data classification

Published:2023-12-10 Issue:1 Volume:65 Page:152-158
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Dhas P. Edwin¹,S Lalitha²,Govindaraj Annalakshmi³,Jyoshna B.⁴

Affiliation:

1. Department of Computer Science and Engineering, Jayaraj Annapackiam CSI College of Engineering, Nazareth, India

2. Dept. of Electronics and Communication Engineering, B.M.S. College of Engineering, Bengaluru, India

3. Department of CSE, Koneru Lakshmaiah Education Foundation, Hyderabad, India

4. Department of CSE, Keshav Memorial Institute of Technology, Hyderabad, India

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2023.2284027

Reference18 articles.

1. An efficient hybrid clustering method based on improved cuckoo optimization and modified particle swarm optimization algorithms

2. Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches

3. A MapReduce-based improvement algorithm for DBSCAN

4. Optimal cluster analysis using hybrid K-Means and Ant Lion Optimizer

5. Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting;Mohan S;Intern J Distrib Sensor Netw,2020

Cited by 1 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. Feature Subset Selection for High-Dimensional, Low Sampling Size Data Classification Using Ensemble Feature Selection With a Wrapper-Based Search;IEEE Access;2024

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