Shallow decision trees for explainable k-means clustering.
Eduardo Sany LaberLucas MurtinhoFelipe OliveiraPublished in: Pattern Recognit. (2023)
Keyphrases
- decision trees
- predictive accuracy
- decision tree induction
- logistic regression
- machine learning algorithms
- ensemble methods
- naive bayes
- k means
- machine learning
- wall street journal
- decision tree learning
- decision tree algorithm
- attribute selection
- question answering
- training set
- clustering algorithm
- partitioned data
- natural language processing
- random forest
- rule induction
- information extraction
- feature construction
- constructive induction
- training data
- random forests
- real time
- privacy preserving
- multivariate decision trees
- data mining methods
- classification rules
- decision rules