Using Decision Trees for Interpretable Supervised Clustering.
Natallia KokashLeonid MakhnistPublished in: CoRR (2023)
Keyphrases
- supervised clustering
- decision trees
- classification rules
- rule induction
- clustering algorithm
- instance based learning
- label ranking
- logistic regression
- probability estimation
- decision rules
- naive bayes
- data mining methods
- machine learning algorithms
- machine learning
- random forests
- ensemble methods
- base classifiers
- rule sets
- cost sensitive
- data mining
- pairwise
- training set
- support vector