Explaining Kernel Clustering via Decision Trees.
Maximilian FleissnerLeena Chennuru VankadaraDebarghya GhoshdastidarPublished in: CoRR (2024)
Keyphrases
- decision trees
- clustering algorithm
- clustering method
- hierarchical clustering
- k means
- document clustering
- data clustering
- similarity function
- machine learning
- training data
- feature space
- data points
- decision rules
- machine learning algorithms
- decision tree induction
- support vector
- categorical data
- kernel function
- kernel machines
- spectral clustering
- kernel methods
- neural network
- naive bayes
- data mining