Attribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data.
Jan-Tobias SohnsMichaela SchmittFabian JirasekHans HasseHeike LeittePublished in: IEEE Trans. Vis. Comput. Graph. (2022)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- high dimensional
- high dimensionality
- nearest neighbor
- manifold learning
- data sets
- high dimension
- high dimensions
- subspace clustering
- linear discriminant analysis
- input space
- data analysis
- dimension reduction
- data points
- data distribution
- original data
- similarity search
- sparse representation
- high dimensional datasets
- nonlinear dimensionality reduction
- high dimensional spaces
- dimensional data
- high dimensional data sets
- clustering high dimensional data
- subspace learning
- nearest neighbor search
- vector space
- input data
- lower dimensional
- variable selection
- euclidean space
- principal component analysis
- knn
- small sample size
- pattern recognition
- neural network