High-dimensional data visualization by interactive construction of low-dimensional parallel coordinate plots.
Takayuki ItohAshnil KumarKarsten KleinJinman KimPublished in: J. Vis. Lang. Comput. (2017)
Keyphrases
- high dimensional data
- low dimensional
- multidimensional scaling
- high dimensional
- dimensionality reduction
- data analysis
- data visualization
- high dimensionality
- subspace clustering
- data points
- principal component analysis
- dimension reduction
- input space
- similarity search
- manifold learning
- euclidean space
- high dimensions
- lower dimensional
- original data
- subspace learning
- nearest neighbor
- linear discriminant analysis
- data sets
- data distribution
- sparse representation
- training data
- feature space
- nonlinear dimensionality reduction
- distance preserving
- high dimensional spaces
- high dimensional datasets
- clustering high dimensional data
- dimensional data
- text data
- pattern recognition
- locally linear embedding
- multi dimensional
- high dimensional data sets
- low dimensional manifolds
- intrinsic dimension
- data mining
- neural network