High-Dimensional Data Visualization by Interactive Construction of Low-Dimensional Parallel Coordinate Plots.
Takayuki ItohAshnil KumarKarsten KleinJinman KimPublished in: CoRR (2016)
Keyphrases
- high dimensional data
- low dimensional
- high dimensional
- multidimensional scaling
- dimensionality reduction
- data analysis
- data visualization
- manifold learning
- dimension reduction
- principal component analysis
- high dimensionality
- input space
- data points
- feature space
- high dimensions
- euclidean space
- subspace clustering
- original data
- nearest neighbor
- nonlinear dimensionality reduction
- similarity search
- linear discriminant analysis
- subspace learning
- high dimensional datasets
- data distribution
- sparse representation
- clustering high dimensional data
- lower dimensional
- high dimensional data sets
- data sets
- low dimensional structure
- locally linear embedding
- high dimensional spaces
- dimensional data
- latent space
- intrinsic dimension
- distance preserving
- machine learning
- real world