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Gene selection in cancer classification using hybrid method based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) feature selection and support vector machine

机译：基于粒子群优化（PSO）的混合方法，人工蜜蜂菌落（ABC）特征选择和支持向量机的基因选择

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D. A. Utami; Z. Rustam;
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年度 2019
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2. Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony [J] . Lingyun Gao, Mingquan Ye, Changrong Wu Molecules . 2017,第12期

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4. Gene Selection in Cancer Classification using Hybrid Method Based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) Feature Selection and Support Vector Machine [C] . D. A. Utami, Z. Rustam International Symposium on Current Progress in Mathematics and Sciences . 2019

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5. A new feature selection method based on support vector machines for text categorization. [D] . Xu, Yaquan. 2006

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6. Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony [O] . Lingyun Gao, Mingquan Ye, Changrong Wu 2017

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7. Classification of cancer data using support vector machines with features selection method based on global artificial bee colony [O] . T. Nadira, Z. Rustam 2018

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Gene selection in cancer classification using hybrid method based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) feature selection and support vector machine

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