An Entropy Clustering Approach for Assessing Visual Question Difficulty.
Kento TeraoToru TamakiBisser RaytchevKazufumi KanedaShin'ichi SatohPublished in: IEEE Access (2020)
Keyphrases
- information theoretic
- clustering algorithm
- clustering method
- information theory
- low level
- data points
- graph theoretic
- mutual information
- visual perception
- k means
- hierarchical clustering
- visual features
- cluster analysis
- visual representation
- data clustering
- visual information
- neural network
- unsupervised learning
- data mining tasks
- distance metric
- categorical data
- visual data
- anomaly detection
- information extraction
- feature selection
- machine learning