X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction.
Panagis MagdalinosAnastasios KapernekasAlexandros MpiratsisMichalis VazirgiannisPublished in: ECML/PKDD (3) (2010)
Keyphrases
- dimensionality reduction
- low dimensional
- high dimensional data
- random projections
- high dimensional
- manifold learning
- pattern recognition
- data representation
- high dimensionality
- principal component analysis
- structure preserving
- dimension reduction
- feature extraction
- linear discriminant analysis
- preprocessing step
- kernel pca
- pattern recognition and machine learning
- object oriented
- linear dimensionality reduction
- principal components
- input space
- data model
- feature space
- intrinsic dimensionality
- dimensionality reduction methods
- feature selection
- data types
- databases
- multidimensional scaling
- kernel learning
- principal components analysis
- markup language
- data points
- euclidean distance
- singular value decomposition
- lower dimensional
- application specific
- relational databases
- highly flexible
- neural network
- diffusion maps