Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection.
Isadora SallesPaola Mejia-DomenzainVinitra SwamyJulian BlackwellTanja KäserPublished in: CoRR (2024)
Keyphrases
- feature selection
- learning process
- unsupervised learning
- learning styles
- unsupervised feature selection
- k means
- clustering algorithm
- learning environment
- high dimensionality
- mutual information
- hierarchical clustering
- spectral clustering
- information theoretic
- outlier detection
- clustering method
- student learning
- data clustering
- data mining and pattern recognition
- feature set
- cluster analysis
- machine learning
- data pre processing
- classification rules
- selected features
- microarray data
- multi class
- text categorization
- support vector
- learning algorithm
- feature weighting
- categorical data
- feature selection algorithms
- student model
- information gain
- decision trees
- fuzzy clustering
- feature extraction
- document clustering
- supervised learning
- intelligent tutoring systems
- online learning
- self organizing maps
- model selection