An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection

Keyphrases

• Feature Selection 100%
• Feeding Strategy 100%
• Slime Mould Algorithm 100%
• Machine Learning 50%
• Binary Version 50%
• Data Mining Techniques 25%
• Classification Accuracy 25%
• Feature Selection Methods 25%
• Selected Features 25%
• Optimal Feature Selection 25%
• K-nearest 25%
• Transfer Function 25%
• Learning Algorithm 25%
• Training Time 25%
• UCI Dataset 25%
• High Classification Accuracy 25%
• Art Features 25%
• Machine Data 25%
• Classification Algorithms 25%
• Strategy Method 25%
• V-shaped 25%
• Memory Saving 25%
• S-shaped Transfer Function 25%
• Informative Features 25%
• Regression Algorithm 25%

Computer Science

• Feature Extraction 100%
• Feature Selection 100%
• Machine Learning 40%
• Learning System 40%
• Classification Accuracy 40%
• Transfer Function 40%
• Data Mining Algorithm 20%
• Learning Algorithm 20%
• k-Nearest Neighbors Algorithm 20%