Geometrically Intuitive Rendering of High-Dimensional Data.
Monte HancockKristy SproulJared StiersBenjamin BowlesFiona SwarrJason PrivetteMichael ShriderAntoinette HadgisPublished in: HCI (15) (2019)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- high dimensional
- high dimensions
- dimensionality reduction
- data sets
- high dimensionality
- data points
- subspace clustering
- data analysis
- high dimensional spaces
- similarity search
- original data
- lower dimensional
- nonlinear dimensionality reduction
- input space
- dimension reduction
- clustering high dimensional data
- linear discriminant analysis
- small sample size
- complex data
- input data
- sparse representation
- manifold learning
- dimensional data
- text data
- high dimensional datasets
- data distribution
- subspace learning
- computer vision
- neural network
- variable selection
- face recognition
- learning algorithm
- high dimensional data sets
- intrinsic dimension