Sleep Behavior Classification Based on Clusters of Sleep Quality.
Pawonrat KhumngoenSukree SinthupinyoPublished in: JCSSE (2023)
Keyphrases
- sleep stage
- eeg signals
- pattern recognition
- high quality
- automatic classification
- clustering algorithm
- decision trees
- classification scheme
- unsupervised clustering
- feature selection
- classification accuracy
- sleep apnea
- machine learning
- feature set
- text classification
- feature extraction
- machine learning algorithms
- pattern classification
- classification method
- supervised classification
- obstructive sleep apnea
- self organizing maps
- support vector machine svm
- support vector machine
- feature space
- preprocessing
- support vector
- cluster analysis
- data clustering
- class labels
- unsupervised learning
- feature vectors
- training set
- physiological parameters