Feature selection and mass classification using particle swarm optimization and support vector machine

Keyphrases

• Support Vector Machine 100%
• Particle Swarm Optimization 100%
• Mass Classification 100%
• Feature Selection Classification 100%
• Optimization Approach 42%
• Region of Interest 28%
• Feature Selection 28%
• Classification Accuracy 28%
• Texture Features 14%
• Feature Selection Methods 14%
• RBF Kernel 14%
• Classification Methods 14%
• Proposal Classification 14%
• Effective Techniques 14%
• Classification Approach 14%
• Gray-level Co-occurrence 14%
• Mammogram 14%
• Normal Breast Tissue 14%
• Gray Histogram 14%

Computer Science

• Support Vector Machine 100%
• Feature Selection 100%
• Particle Swarm Optimization 100%
• Classification Accuracy 28%
• Experimental Result 14%
• Texture Feature 14%
• Radial Basis Function 14%
• classification approach 14%
• Classification Technique 14%
• Occurrence Matrix 14%

Biochemistry, Genetics and Molecular Biology

• Support Vector Machine 100%
• Kernel Method 16%