Identification of temporal variations in mental workload using locally-linear-embedding-based EEG feature reduction and support-vector-machine-based clustering and classification techniques.
Zhong YinJianhua ZhangPublished in: Comput. Methods Programs Biomed. (2014)
Keyphrases
- feature reduction
- locally linear embedding
- high dimensional data
- rough sets
- text categorization
- linear discriminant analysis
- dimensionality reduction
- principal components analysis
- random forest
- reduction method
- high dimensional
- k means
- dimensional data
- manifold learning
- feature set
- low dimensional
- feature selection
- clustering algorithm
- classification accuracy
- document clustering
- viterbi algorithm
- principal component analysis
- knn
- feature extraction
- pattern recognition
- machine learning
- data sets
- texture segmentation
- preprocessing
- support vector machine
- unsupervised learning
- k nearest neighbor
- text classification