DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine.
Parisa SalmanianAngelos ChatzimparmpasAli Can KaracaRafael M. MartinsPublished in: CoRR (2024)
Keyphrases
- dimensionality reduction
- data points
- clustering algorithm
- input space
- high dimensional data
- feature extraction
- data representation
- low dimensional
- principal component analysis
- learning algorithm
- ensemble methods
- feature selection
- visual information
- cluster analysis
- high dimensionality
- data clustering
- subspace clustering
- dimensionality reduction methods
- structure preserving
- computer vision
- hierarchical clustering
- self organizing maps
- visual features
- feature space
- pattern recognition
- document clustering
- linear discriminant analysis
- combining multiple
- arbitrary shape
- medical image retrieval
- high level
- semantically relevant