Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data.
Jan-Tobias SohnsMichaela SchmittFabian JirasekHans HasseHeike LeittePublished in: CoRR (2021)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensional
- manifold learning
- data sets
- high dimensionality
- high dimensions
- high dimension
- subspace clustering
- input space
- data analysis
- similarity search
- lower dimensional
- data distribution
- linear discriminant analysis
- high dimensional spaces
- dimension reduction
- original data
- sparse representation
- data points
- high dimensional datasets
- nonlinear dimensionality reduction
- dimensional data
- feature space
- text data
- high dimensional data sets
- locally linear embedding
- clustering high dimensional data
- nearest neighbor search
- variable selection
- multi dimensional
- similarity measure
- computer vision
- learning algorithm
- real world