Hierarchical clustering: Visualization, feature importance and model selection.
Luben M. C. CabezasRafael IzbickiRafael Bassi SternPublished in: Appl. Soft Comput. (2023)
Keyphrases
- model selection
- hierarchical clustering
- feature importance
- feature selection
- cross validation
- random forest
- clustering method
- relevance feedback
- machine learning
- mixture model
- clustering algorithm
- data analysis
- semi supervised
- selection criterion
- single linkage
- variable selection
- hierarchical clustering algorithm
- image segmentation
- information criterion
- hierarchical clustering methods
- bayesian information criterion
- automatic model selection
- gaussian process
- decision trees
- statistical inference
- text categorization
- marginal likelihood
- partitional clustering
- model selection criteria
- unsupervised learning
- k means
- high dimensional
- feature space