Empirical Guidance on Scatterplot and Dimension Reduction Technique Choices.
Michael SedlmairTamara MunznerMelanie ToryPublished in: IEEE Trans. Vis. Comput. Graph. (2013)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- singular value decomposition
- high dimensional problems
- feature extraction
- manifold learning
- feature selection
- variable selection
- high dimensionality
- data mining and machine learning
- high dimensional data
- dimensionality reduction
- linear discriminant analysis
- random projections
- feature space
- partial least squares
- machine learning
- cluster analysis
- discriminative information
- high dimensional data analysis
- unsupervised learning
- low dimensional
- input data
- manifold embedding
- preprocessing
- pattern recognition
- neural network
- data sets
- database