Visualizing High-Dimensional Data: Advances in the Past Decade.
Shusen LiuDan MaljovecBei WangPeer-Timo BremerValerio PascucciPublished in: EuroVis (STARs) (2015)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- data analysis
- high dimensionality
- data sets
- original data
- high dimensions
- data distribution
- data points
- similarity search
- subspace clustering
- nonlinear dimensionality reduction
- complex data
- dimension reduction
- linear discriminant analysis
- dimensional data
- clustering high dimensional data
- input space
- manifold learning
- variable selection
- sparse representation
- high dimensional datasets
- input data
- text data
- lower dimensional
- high dimensional feature spaces
- high dimensional spaces
- query processing
- small sample size
- image processing