Visual and semantic interpretability of projections of high dimensional data for classification tasks
Ilknur IckeAndrew RosenbergPublished in: CoRR (2012)
Keyphrases
- high dimensional data
- visual data
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensions
- high dimensionality
- similarity search
- high dimensional
- data sets
- data points
- data analysis
- original data
- subspace clustering
- data distribution
- input space
- low rank
- complex data
- manifold learning
- clustering high dimensional data
- high dimensional datasets
- dimension reduction
- visual information
- lower dimensional
- text data
- dimensional data
- linear discriminant analysis
- sparse representation
- visual features
- input data
- face recognition
- data mining
- feature space
- data structure
- high dimensional spaces
- machine learning
- high dimensional data sets
- real world