Shallow decision trees for explainable k-means clustering.
Eduardo Sany LaberLucas MurtinhoFelipe OliveiraPublished in: CoRR (2021)
Keyphrases
- decision trees
- decision tree induction
- naive bayes
- k means
- predictive accuracy
- decision rules
- logistic regression
- question answering
- natural language processing
- machine learning algorithms
- constructive induction
- decision tree algorithm
- random forests
- information extraction
- partitioned data
- clustering algorithm
- data mining methods
- random forest
- decision tree learning
- attribute selection
- machine learning
- ensemble methods
- information systems
- spectral clustering
- multivariate decision trees
- training set
- wall street journal
- databases
- nearest neighbour
- knowledge based systems
- expert systems
- knowledge base
- neural network