Explaining Kernel Clustering via Decision Trees.
Maximilian FleissnerLeena Chennuru VankadaraDebarghya GhoshdastidarPublished in: ICLR (2024)
Keyphrases
- decision trees
- clustering algorithm
- similarity function
- unsupervised learning
- data clustering
- k means
- clustering method
- training data
- naive bayes
- self organizing maps
- data sets
- document clustering
- cluster analysis
- data mining methods
- kernel function
- data points
- fuzzy clustering
- rule induction
- decision tree learning
- boosted decision trees
- information theoretic
- distance metric
- machine learning algorithms
- pairwise
- training set