Greedy Compositional Clustering for Unsupervised Learning of Hierarchical Compositional Models.
Adam KortylewskiClemens BlumerThomas VetterPublished in: CoRR (2017)
Keyphrases
- unsupervised learning
- model selection
- hierarchical clustering
- data clustering
- clustering algorithm
- deep learning
- statistical models
- clustering method
- dynamic programming
- dimensionality reduction
- parameter estimation
- self organizing maps
- computer vision
- machine learning
- probabilistic model
- expectation maximization
- prior knowledge
- pairwise
- bayesian networks
- experimental data
- training data
- greedy algorithm
- probabilistic latent semantic analysis
- data sets