Clustering of Drivers' State Before Takeover Situations Based on Physiological Features Using Unsupervised Machine Learning.
Emmanuel de SalisQuentin MeteierColin PelletierMarine CapalleraLeonardo AngeliniAndreas SondereggerOmar Abou KhaledElena MugelliniMarino WidmerStefano CarrinoPublished in: IHIET (Paris) (2021)
Keyphrases
- machine learning
- unsupervised learning
- unsupervised feature selection
- clustering algorithm
- k means
- clustering method
- feature selection
- decision trees
- pattern recognition
- feature space
- feature vectors
- unsupervised manner
- supervised learning
- real world
- machine learning approaches
- state space
- data points
- additional features
- completely unsupervised
- feature construction
- supervised classification
- similarity function
- feature set
- image features
- categorical data
- hierarchical clustering
- machine learning algorithms
- semi supervised
- machine learning models
- knowledge discovery