Electroencephalography (EEG) eye state classification using learning vector quantization and bagged trees

Computer Science

• Vector Quantization 100%
• Classification Accuracy 40%
• Linear Discriminant Analysis 40%
• Supervised Learning 40%
• Multilayer Perceptron 40%
• Regression Tree 40%
• Analysis Signal 40%
• Nave Bayes 40%
• Decision-Making 20%
• Learning Approach 20%
• Learning Technique 20%
• Machine Learning Technique 20%
• Prediction Accuracy 20%
• clustering approach 20%
• Time Complexity 20%
• Ensemble Learning 20%
• Computation Complexity 20%
• Classification Tree 20%