Classification of cancer data based on support vectors machines with feature selection using genetic algorithm and Laplacian score

Keyphrases

• Genetic Algorithm 100%
• Feature Selection 100%
• Support Vector Machine 100%
• Data-centric 100%
• Cancer Data 100%
• Cancer Classification 100%
• Laplacian Score 100%
• Cardiovascular Disease 33%
• Negative Effects 33%
• Machine Learning Techniques 33%
• Cancer Detection 33%
• Gene Selection 33%
• Medical Data 33%
• Early Cancer Detection 33%
• Attribute Selection 33%
• Increased Performance 33%
• Cancer Genes 33%
• Machine Learning Applications 33%

Biochemistry, Genetics and Molecular Biology

• Support Vector Machine 100%
• Genetic Algorithm 100%
• Cancer Classification 33%

Physics

• Genetic Algorithm 100%
• Machine Learning 33%