Learning from high dimensional data based on weighted feature importance in decision tree ensembles.
Nayiri Galestian PourSoudabeh ShemehsavarPublished in: Comput. Stat. (2024)
Keyphrases
- high dimensional data
- learning algorithm
- dimensionality reduction
- high dimensional
- learning process
- learning tasks
- feature importance
- nearest neighbor
- clustering high dimensional data
- high dimensionality
- data sets
- subspace clustering
- low dimensional
- high dimensional spaces
- learning scheme
- input data
- data points
- information retrieval
- machine learning
- neural network