Detecting Unfavorable Driving States in Electroencephalography Based on a PCA Sample Entropy Feature and Multiple Classification Algorithms.
Tao ZhangHong WangJichi ChenEnqiu HePublished in: Entropy (2020)
Keyphrases
- feature extraction
- classification algorithm
- machine learning
- principle component analysis
- learning algorithm
- benchmark datasets
- machine learning algorithms
- feature vectors
- principal components analysis
- feature set
- classification accuracy
- computational complexity
- worst case
- model selection
- feature selection
- feature space
- feature representation
- data structure
- preprocessing
- training samples
- dimensionality reduction
- multi class
- high dimensional
- text classification
- support vector machine svm
- principal component analysis
- svm classifier
- image features
- machine learning methods
- covariance matrix
- pattern classification
- support vector machine
- active learning