Visualnostics: Visual Guidance Pictograms for Analyzing Projections of High-dimensional Data.
Dirk J. LehmannFritz KemmlerTatsiana ZhyhalavaMarco KirschkeHolger TheiselPublished in: Comput. Graph. Forum (2015)
Keyphrases
- high dimensional data
- visual data
- nearest neighbor
- dimensionality reduction
- data sets
- low dimensional
- subspace clustering
- high dimensional
- high dimensions
- data analysis
- dimension reduction
- similarity search
- visual features
- data points
- high dimensionality
- data distribution
- input space
- original data
- complex data
- visual information
- linear discriminant analysis
- lower dimensional
- clustering high dimensional data
- manifold learning
- variable selection
- sparse representation
- high dimensional datasets
- high dimensional data sets
- low rank
- dimensional data
- high dimensional spaces
- input data
- database
- subspace learning