Hierarchical clustering with discrete latent variable models and the integrated classification likelihood.
Etienne CômeNicolas JouvinPierre LatoucheCharles BouveyronPublished in: Adv. Data Anal. Classif. (2021)
Keyphrases
- hierarchical clustering
- latent variable models
- clustering method
- machine learning
- feature extraction
- decision trees
- clustering algorithm
- support vector
- text classification
- unsupervised learning
- discriminative learning
- feature space
- supervised learning
- feature selection
- dynamical systems
- dimension reduction
- learning algorithm
- latent variables
- real valued
- data sets