Explaining three-dimensional dimensionality reduction plots.
Danilo Barbosa CoimbraRafael Messias MartinsTácito T. A. T. NevesAlexandru C. TeleaFernando Vieira PaulovichPublished in: Inf. Vis. (2016)
Keyphrases
- dimensionality reduction
- three dimensional
- principal component analysis
- high dimensional data
- feature extraction
- low dimensional
- high dimensional
- high dimensionality
- range images
- data representation
- data points
- structure preserving
- feature space
- manifold learning
- random projections
- feature selection
- pattern recognition
- virtual reality
- linear discriminant analysis
- preprocessing step
- lower dimensional
- euclidean distance
- multi view
- least squares
- locally linear embedding
- dimensionality reduction methods
- nonlinear dimensionality reduction
- kernel pca
- pattern recognition and machine learning
- principal components
- metric learning
- surface reconstruction
- input space
- discriminant analysis
- image sequences
- similarity measure
- training set
- d objects