Hierarchical clustering: visualization, feature importance and model selection.
Luben M. C. CabezasRafael IzbickiRafael Bassi SternPublished in: CoRR (2021)
Keyphrases
- model selection
- hierarchical clustering
- feature importance
- feature selection
- random forest
- cross validation
- clustering method
- relevance feedback
- statistical inference
- mixture model
- selection criterion
- model selection criteria
- single linkage
- variable selection
- hierarchical clustering algorithm
- data analysis
- unsupervised learning
- clustering algorithm
- partitional clustering
- gaussian process
- automatic model selection
- decision trees
- feature set
- marginal likelihood
- information criterion
- data sets